publications | Anindya Bhadra

Preprints

Methodology

arXiv

Covariate-dependent Joint Modeling of Multivariate Ordinal Preferences and Its Connections with Comparison Models

Y. Chen^†, A. Chakraborty, and A. Bhadra

arXiv:2610.09070, 2026

@article{chen2026covariate,
  title = {Covariate-dependent Joint Modeling of Multivariate Ordinal Preferences and Its Connections with Comparison Models},
  author = {Chen, Y. and Chakraborty, A. and Bhadra, A.},
  journal = {arXiv:2610.09070},
  year = {2026},
  period = {Preprints},
  category = {Methodology},
}

arXiv

The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling

A. Bhadra

arXiv:2606.15442, 2026

arXiv Bib Code

@article{bhadra2026reverse,
  title = {{The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling}},
  author = {Bhadra, A.},
  year = {2026},
  journal = {arXiv:2606.15442},
  period = {Preprints},
  category = {Methodology},
}

arXiv

An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition

Z. Gao^†, K. Sagar, and A. Bhadra

arXiv:2509.26385, 2025

arXiv Bib Code

@article{gao2026order,
  title = {{An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition}},
  author = {Gao, Z. and Sagar, K. and Bhadra, A.},
  year = {2025},
  journal = {arXiv:2509.26385},
  period = {Preprints},
  category = {Methodology},
}

arXiv

Bayesian Covariate-Dependent Quantile Directed Acyclic Graphical Models for Individualized Inference

K. Sagar^†, Y. Ni, V. Baladandayuthapani, and A. Bhadra

arXiv:2210.08096, 2022

Award arXiv Bib Code

Winner of a IISA 2022 Best Poster Award for K. Sagar.

@article{sagar2026bayesian,
  title = {{Bayesian Covariate-Dependent Quantile Directed Acyclic Graphical Models for Individualized Inference}},
  author = {Sagar, K. and Ni, Y. and Baladandayuthapani, V. and Bhadra, A.},
  year = {2022},
  journal = {arXiv:2210.08096},
  period = {Preprints},
  category = {Methodology},
}

2025–present

Methodology

JMLR

Likelihood-based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants

Y. Chen^†, A. Bhadra, and A. Chakraborty

Journal of Machine Learning Research (to appear), 2026

arXiv Bib Code

@article{chen2026likelihoodbased,
  title = {{Likelihood-based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants}},
  author = {Chen, Y. and Bhadra, A. and Chakraborty, A.},
  journal = {Journal of Machine Learning Research (to appear)},
  year = {2026},
  category = {Methodology},
  period = {2025–present},
}

AISTATS

Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model

Y. Chen^†, A. Chakraborty, and A. Bhadra

In Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026), 2026

Bib HTML Code

@inproceedings{chen2026exact,
  title = {{Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model}},
  author = {Chen, Y. and Chakraborty, A. and Bhadra, A.},
  booktitle = {Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026)},
  year = {2026},
  period = {2025–present},
  category = {Methodology},
}

EJS

Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Matérn and Confluent Hypergeometric Covariance Functions

X. Fang^‡ and A. Bhadra

Electronic Journal of Statistics, 2025

DOI Bib

@article{fang2025posterior,
  title = {{Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Matérn and Confluent Hypergeometric Covariance Functions}},
  author = {Fang, X. and Bhadra, A.},
  journal = {Electronic Journal of Statistics},
  volume = {19},
  pages = {3333--3369},
  year = {2025},
  doi = {10.1214/25-EJS2417},
  period = {2025–present},
  category = {Methodology},
}

ICLR

Deep Kernel Posterior Learning under Infinite Variance Prior Weights

J. Loría^† and A. Bhadra

In The 13th International Conference on Learning Representations (ICLR 2025), 2025

Bib HTML Code

@inproceedings{lora2025deep,
  title = {{Deep Kernel Posterior Learning under Infinite Variance Prior Weights}},
  author = {Loría, J. and Bhadra, A.},
  booktitle = {The 13th International Conference on Learning Representations (ICLR 2025)},
  year = {2025},
  period = {2025–present},
  category = {Methodology},
}

Math Geosci

Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay

D. Yarger and A. Bhadra

Mathematical Geosciences, 2025

DOI Bib Code

@article{yarger2025multivariate,
  title = {{Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay}},
  author = {Yarger, D. and Bhadra, A.},
  journal = {Mathematical Geosciences},
  volume = {57},
  pages = {977--1001},
  year = {2025},
  doi = {10.1007/s11004-025-10185-6},
  period = {2025–present},
  category = {Methodology},
}

Biometrics

Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks

T.-H. Yao, Y. Ni, A. Bhadra, J. Kang, and V. Baladandayuthapani

Biometrics, 2025

DOI Bib Code

@article{yao2025robust,
  title = {{Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks}},
  author = {Yao, T.-H. and Ni, Y. and Bhadra, A. and Kang, J. and Baladandayuthapani, V.},
  journal = {Biometrics},
  volume = {81},
  pages = {ujae160},
  year = {2025},
  doi = {10.1093/biomtc/ujae160},
  period = {2025–present},
  category = {Methodology},
}

2020–2024

Methodology

JMLR

Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix

A. Bhadra, K. Sagar^†, D. Rowe, S. Banerjee, and J. Datta

Journal of Machine Learning Research, 2024

Bib HTML Blog Code

@article{bhadra2024evidence,
  title = {{Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix}},
  author = {Bhadra, A. and Sagar, K. and Rowe, D. and Banerjee, S. and Datta, J.},
  journal = {Journal of Machine Learning Research},
  volume = {25},
  number = {295},
  pages = {1--43},
  year = {2024},
  period = {2020–2024},
  category = {Methodology},
}

AoAS

Bayesian Robust Learning in Chain Graph Models for Integrative Pharmacogenomics

M. Chakraborty, V. Baladandayuthapani, A. Bhadra, and M. J. Ha

Annals of Applied Statistics, 2024

Award DOI Bib

Honorable Mention for the 2025 ISBA Mitchell Prize.

@article{chakraborty2024bayesian,
  title = {{Bayesian Robust Learning in Chain Graph Models for Integrative Pharmacogenomics}},
  author = {Chakraborty, M. and Baladandayuthapani, V. and Bhadra, A. and Ha, M. J.},
  journal = {Annals of Applied Statistics},
  volume = {18},
  pages = {3274--3296},
  year = {2024},
  doi = {10.1214/24-AOAS1936},
  period = {2020–2024},
  category = {Methodology},
}

LIDA

Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros

A. Bhadra, R. Wei, R. Keogh, V. Kipnis, D. Midthune, D. W. Buckman, Y. Su, A. Roy Chowdhury, and R. J. Carroll

Lifetime Data Analysis, 2024

DOI Bib

@article{bhadra2024measurement,
  title = {{Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros}},
  author = {Bhadra, A. and Wei, R. and Keogh, R. and Kipnis, V. and Midthune, D. and Buckman, D. W. and Su, Y. and Roy Chowdhury, A. and Carroll, R. J.},
  journal = {Lifetime Data Analysis},
  volume = {30},
  pages = {600--623},
  year = {2024},
  doi = {10.1007/s10985-024-09627-w},
  period = {2020–2024},
  category = {Methodology},
}

UAI

Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance

J. Loría^† and A. Bhadra

In Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), 2024

Bib HTML Code

@inproceedings{lora2024posterior,
  title = {{Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance}},
  author = {Loría, J. and Bhadra, A.},
  booktitle = {Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024)},
  volume = {244},
  pages = {2331--2349},
  year = {2024},
  period = {2020–2024},
  category = {Methodology},
}

Stat

Maximum a posteriori estimation in graphical models using local linear approximation

K. Sagar^†, J. Datta, S. Banerjee, and A. Bhadra

Stat, 2024

DOI Bib Code

@article{sagar2024maximum,
  title = {{Maximum a posteriori estimation in graphical models using local linear approximation}},
  author = {Sagar, K. and Datta, J. and Banerjee, S. and Bhadra, A.},
  journal = {Stat},
  volume = {13},
  pages = {e682},
  year = {2024},
  doi = {10.1002/sta4.682},
  period = {2020–2024},
  category = {Methodology},
}

WIREs

Merging Two Cultures: Deep and Statistical Learning

A. Bhadra, J. Datta, N. G. Polson, V. Sokolov, and J. Xu

Wiley Interdisciplinary Reviews: Computational Statistics, 2024

DOI Bib

@article{bhadra2024merging,
  title = {{Merging Two Cultures: Deep and Statistical Learning}},
  author = {Bhadra, A. and Datta, J. and Polson, N. G. and Sokolov, V. and Xu, J.},
  journal = {Wiley Interdisciplinary Reviews: Computational Statistics},
  volume = {16},
  pages = {e1647},
  year = {2024},
  doi = {10.1002/wics.1647},
  period = {2020–2024},
  category = {Methodology},
}

Stat Comput

SURE-tuned Bridge Regression

J. Loría^† and A. Bhadra

Statistics and Computing, 2024

DOI Bib Code

@article{lora2024suretuned,
  title = {{SURE-tuned Bridge Regression}},
  author = {Loría, J. and Bhadra, A.},
  journal = {Statistics and Computing},
  volume = {34},
  pages = {30},
  year = {2024},
  doi = {10.1007/s11222-023-10350-z},
  period = {2020–2024},
  category = {Methodology},
}

EJS

Precision matrix estimation under the horseshoe-like prior–penalty dual

K. Sagar^†, S. Banerjee, J. Datta, and A. Bhadra

Electronic Journal of Statistics, 2024

Award DOI Bib Code

Winner of a 2022 ENAR Distinguished Student Paper Award for K. Sagar.

@article{sagar2024precision,
  title = {{Precision matrix estimation under the horseshoe-like prior–penalty dual}},
  author = {Sagar, K. and Banerjee, S. and Datta, J. and Bhadra, A.},
  journal = {Electronic Journal of Statistics},
  volume = {18},
  pages = {1--46},
  year = {2024},
  doi = {10.1214/23-EJS2196},
  period = {2020–2024},
  category = {Methodology},
}

JASA

Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions

P. Ma and A. Bhadra

Journal of the American Statistical Association, 2023

DOI Bib

@article{ma2023beyond,
  title = {{Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions}},
  author = {Ma, P. and Bhadra, A.},
  journal = {Journal of the American Statistical Association},
  volume = {118},
  pages = {2045--2058},
  year = {2023},
  doi = {10.1080/01621459.2022.2027775},
  period = {2020–2024},
  category = {Methodology},
}

IEEE SPL

A Laplace Mixture Representation of the Horseshoe and Some Implications

K. Sagar^† and A. Bhadra

IEEE Signal Processing Letters, 2022

DOI Bib Code

@article{sagar2022laplace,
  title = {{A Laplace Mixture Representation of the Horseshoe and Some Implications}},
  author = {Sagar, K. and Bhadra, A.},
  journal = {IEEE Signal Processing Letters},
  volume = {29},
  pages = {2547--2551},
  year = {2022},
  doi = {10.1109/LSP.2022.3228491},
  period = {2020–2024},
  category = {Methodology},
}

SMA

Invited discussion of “Bayesian Graphical Models for Modern Biological Applications” by Ni, Baladandayuthapani, Vannucci and Stingo

A. Bhadra

Statistical Methods & Applications, 2022

DOI Bib

@article{bhadra2022invited,
  title = {{Invited discussion of “Bayesian Graphical Models for Modern Biological Applications” by Ni, Baladandayuthapani, Vannucci and Stingo}},
  author = {Bhadra, A.},
  journal = {Statistical Methods & Applications},
  volume = {31},
  pages = {235--239},
  year = {2022},
  doi = {10.1007/s10260-021-00607-0},
  period = {2020–2024},
  category = {Methodology},
}

JMVA

Joint mean–covariance estimation via the horseshoe

Y. Li^†, J. Datta, B. A. Craig, and A. Bhadra

Journal of Multivariate Analysis, 2021

DOI Bib Code

@article{li2021joint,
  title = {{Joint mean–covariance estimation via the horseshoe}},
  author = {Li, Y. and Datta, J. and Craig, B. A. and Bhadra, A.},
  journal = {Journal of Multivariate Analysis},
  volume = {183},
  pages = {104716},
  year = {2021},
  doi = {10.1016/j.jmva.2020.104716},
  period = {2020–2024},
  category = {Methodology},
}

Sankhya B

The horseshoe-like regularization for feature subset selection

A. Bhadra, J. Datta, N. G. Polson, and B. Willard

Sankhya B(special issue in memory of Jayanta K. Ghosh) , 2021

DOI Bib

@article{bhadra2021horseshoelike,
  title = {{The horseshoe-like regularization for feature subset selection}},
  author = {Bhadra, A. and Datta, J. and Polson, N. G. and Willard, B.},
  journal = {Sankhya B},
  volume = {83},
  pages = {185--214},
  year = {2021},
  doi = {10.1007/s13571-019-00217-7},
  period = {2020–2024},
  category = {Methodology},
}

Sankhya A

Global-local mixtures: a unifying framework

A. Bhadra, J. Datta, N. G. Polson, and B. Willard

Sankhya A(special issue in memory of Jayanta K. Ghosh) , 2020

DOI Bib Blog

@article{bhadra2020globallocal,
  title = {{Global-local mixtures: a unifying framework}},
  author = {Bhadra, A. and Datta, J. and Polson, N. G. and Willard, B.},
  journal = {Sankhya A},
  volume = {82},
  pages = {426--447},
  year = {2020},
  doi = {10.1007/s13171-019-00191-2},
  period = {2020–2024},
  category = {Methodology},
}

ISR

Horseshoe regularization for machine learning in complex and deep models (with discussion)

A. Bhadra, J. Datta, Y. Li^†, and N. G. Polson

International Statistical Review· discussion 1, 2, 3, 4 , 2020

DOI Bib

@article{bhadra2020horseshoe,
  title = {{Horseshoe regularization for machine learning in complex and deep models (with discussion)}},
  author = {Bhadra, A. and Datta, J. and Li, Y. and Polson, N. G.},
  journal = {International Statistical Review},
  volume = {88},
  pages = {302--320},
  year = {2020},
  doi = {10.1111/insr.12360},
  period = {2020–2024},
  category = {Methodology},
}

Applied

J Nutr

Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health

L. Lin, J. Guo, S. Gelfand, A. Bhadra, E. Delp, E. Richards, E. Hennessy, and H. Eicher-Miller

Journal of Nutrition, 2024

DOI Bib

@article{lin2024temporal,
  title = {{Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health}},
  author = {Lin, L. and Guo, J. and Gelfand, S. and Bhadra, A. and Delp, E. and Richards, E. and Hennessy, E. and Eicher-Miller, H.},
  journal = {Journal of Nutrition},
  volume = {154},
  pages = {722--733},
  year = {2024},
  doi = {10.1016/j.tjnut.2023.12.049},
  period = {2020–2024},
  category = {Applied},
}

JAND

Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships with Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone

L. Lin, J. Guo, A. Bhadra, S. B. Gelfand, E. J. Delp, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller

Journal of the Academy of Nutrition and Dietetics, 2023

DOI Bib

@article{lin2023temporal,
  title = {{Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships with Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone}},
  author = {Lin, L. and Guo, J. and Bhadra, A. and Gelfand, S. B. and Delp, E. J. and Richards, E. A. and Hennessy, E. and Eicher-Miller, H. A.},
  journal = {Journal of the Academy of Nutrition and Dietetics},
  volume = {123},
  pages = {1729--1748},
  year = {2023},
  doi = {10.1016/j.jand.2023.07.004},
  period = {2020–2024},
  category = {Applied},
}

ICDH

Joint Temporal Patterns By Integrating Diet and Physical Activity

J. Guo, M. Aqeel, L. Lin, S. Gelfand, H. Eicher-Miller, A. Bhadra, E. Hennessy, E. Richards, and E. Delp

In IEEE International Conference on Digital Health (ICDH 2023),, 2023

DOI Bib

@inproceedings{guo2023joint,
  title = {{Joint Temporal Patterns By Integrating Diet and Physical Activity}},
  author = {Guo, J. and Aqeel, M. and Lin, L. and Gelfand, S. and Eicher-Miller, H. and Bhadra, A. and Hennessy, E. and Richards, E. and Delp, E.},
  booktitle = {IEEE International Conference on Digital Health (ICDH 2023),},
  pages = {13--23},
  year = {2023},
  doi = {10.1109/ICDH60066.2023.00011},
  period = {2020–2024},
  category = {Applied},
}

ICHI

Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults

J. Guo, M. Aqeel, L. Lin, S. Gelfand, H. Eicher-Miller, A. Bhadra, E. Hennessy, E. Richards, and E. Delp

In IEEE International Conference on Healthcare Informatics (ICHI 2023),, 2023

DOI Bib

@inproceedings{guo2023cluster,
  title = {{Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults}},
  author = {Guo, J. and Aqeel, M. and Lin, L. and Gelfand, S. and Eicher-Miller, H. and Bhadra, A. and Hennessy, E. and Richards, E. and Delp, E.},
  booktitle = {IEEE International Conference on Healthcare Informatics (ICHI 2023),},
  pages = {214--224},
  year = {2023},
  doi = {10.1109/ICHI57859.2023.00038},
  period = {2020–2024},
  category = {Applied},
}

CRFSN

A narrative review of nutrient based indexes to assess diet quality and the proposed Total Nutrient Index that reflects total dietary exposures

A. E. Cowan, S. Jun, J. A. Tooze, K. W. Dodd, J. J. Gahche, H. A. Eicher-Miller, P. M. Guenther, J. T. Dwyer, N. Potischman, A. Bhadra, R. J. Carroll, and R. L. Bailey

Critical Reviews in Food Science and Nutrition, 2023

DOI Bib

@article{cowan2023narrative,
  title = {{A narrative review of nutrient based indexes to assess diet quality and the proposed Total Nutrient Index that reflects total dietary exposures}},
  author = {Cowan, A. E. and Jun, S. and Tooze, J. A. and Dodd, K. W. and Gahche, J. J. and Eicher-Miller, H. A. and Guenther, P. M. and Dwyer, J. T. and Potischman, N. and Bhadra, A. and Carroll, R. J. and Bailey, R. L.},
  journal = {Critical Reviews in Food Science and Nutrition},
  volume = {63},
  pages = {1722--1732},
  year = {2023},
  doi = {10.1080/10408398.2021.1967872},
  period = {2020–2024},
  category = {Applied},
}

J Nutr

Trends in overall and micronutrient-containing dietary supplement use among U.S. adults and children, NHANES 2007-2018

A. E. Cowan, J. A. Tooze, J. J. Gahche, H. A. Eicher-Miller, P. M. Guenther, J. T. Dwyer, N. Potischman, A. Bhadra, R. J. Carroll, and R. L. Bailey

Journal of Nutrition, 2022

DOI Bib

@article{cowan2022trends,
  title = {{Trends in overall and micronutrient-containing dietary supplement use among U.S. adults and children, NHANES 2007-2018}},
  author = {Cowan, A. E. and Tooze, J. A. and Gahche, J. J. and Eicher-Miller, H. A. and Guenther, P. M. and Dwyer, J. T. and Potischman, N. and Bhadra, A. and Carroll, R. J. and Bailey, R. L.},
  journal = {Journal of Nutrition},
  volume = {152},
  pages = {2789--2801},
  year = {2022},
  doi = {10.1093/jn/nxac168},
  period = {2020–2024},
  category = {Applied},
}

Nutrients

The discovery of data-driven temporal dietary patterns and a validation of their description using energy and time cut-offs

L. Lin, J. Guo, Y. Li, S. B. Gelfand, E. J. Delp, A. Bhadra, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller

Nutrients(Special Issue on Dietary Surveys and Nutritional Epidemiology) , 2022

DOI Bib

@article{lin2022discovery,
  title = {{The discovery of data-driven temporal dietary patterns and a validation of their description using energy and time cut-offs}},
  author = {Lin, L. and Guo, J. and Li, Y. and Gelfand, S. B. and Delp, E. J. and Bhadra, A. and Richards, E. A. and Hennessy, E. and Eicher-Miller, H. A.},
  journal = {Nutrients},
  volume = {14},
  pages = {3483},
  year = {2022},
  doi = {10.3390/nu14173483},
  period = {2020–2024},
  category = {Applied},
}

J Nutr

The Total Nutrient Index is a useful measure for assessing total micronutrient exposures among U. S. adults

A. E. Cowan, R. L. Bailey, S. Jun, K. W. Dodd, J. J. Gahche, H. A. Eicher-Miller, P. M. Guenther, J. T. Dwyer, N. Potischman, A. Bhadra, R. J. Carroll, and J. A. Tooze

Journal of Nutrition, 2022

DOI Bib

@article{cowan2022total,
  title = {{The Total Nutrient Index is a useful measure for assessing total micronutrient exposures among U. S. adults}},
  author = {Cowan, A. E. and Bailey, R. L. and Jun, S. and Dodd, K. W. and Gahche, J. J. and Eicher-Miller, H. A. and Guenther, P. M. and Dwyer, J. T. and Potischman, N. and Bhadra, A. and Carroll, R. J. and Tooze, J. A.},
  journal = {Journal of Nutrition},
  volume = {152},
  pages = {863--871},
  year = {2022},
  doi = {10.1093/jn/nxab428},
  period = {2020–2024},
  category = {Applied},
}

AJCN

Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases

L. Lin, J. Guo, M. M. Aqeel, S. B. Gelfand, E. J. Delp, A. Bhadra, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller

American Journal of Clinical Nutrition, 2022

DOI Bib

@article{lin2022joint,
  title = {{Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases}},
  author = {Lin, L. and Guo, J. and Aqeel, M. M. and Gelfand, S. B. and Delp, E. J. and Bhadra, A. and Richards, E. A. and Hennessy, E. and Eicher-Miller, H. A.},
  journal = {American Journal of Clinical Nutrition},
  volume = {115},
  pages = {456--470},
  year = {2022},
  doi = {10.1093/ajcn/nqab339},
  period = {2020–2024},
  category = {Applied},
}

Prev Med

Temporal Physical Activity Patterns are Associated with Obesity in U.S. Adults

M. Aqeel, J. Guo, L. Lin, S. Gelfand, E. Delp, A. Bhadra, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller

Preventive Medicine, 2021

DOI Bib

@article{aqeel2021temporal,
  title = {{Temporal Physical Activity Patterns are Associated with Obesity in U.S. Adults}},
  author = {Aqeel, M. and Guo, J. and Lin, L. and Gelfand, S. and Delp, E. and Bhadra, A. and Richards, E. A. and Hennessy, E. and Eicher-Miller, H. A.},
  journal = {Preventive Medicine},
  volume = {148},
  pages = {106538},
  year = {2021},
  doi = {10.1016/j.ypmed.2021.106538},
  period = {2020–2024},
  category = {Applied},
}

AJCN

Association of food insecurity with dietary intakes and nutritional biomarkers among U.S. children, National Health and Nutrition Examination Survey (NHANES) 2011–2016

S. Jun, A. E. Cowan, K. W. Dodd, J. A. Tooze, J. J. Gahche, H. A. Eicher-Miller, P. M. Guenther, J. T. Dwyer, N. Potischman, A. Bhadra, M. R. Forman, and R. L. Bailey

American Journal of Clinical Nutrition, 2021

DOI Bib

@article{jun2021association,
  title = {{Association of food insecurity with dietary intakes and nutritional biomarkers among U.S. children, National Health and Nutrition Examination Survey (NHANES) 2011–2016}},
  author = {Jun, S. and Cowan, A. E. and Dodd, K. W. and Tooze, J. A. and Gahche, J. J. and Eicher-Miller, H. A. and Guenther, P. M. and Dwyer, J. T. and Potischman, N. and Bhadra, A. and Forman, M. R. and Bailey, R. L.},
  journal = {American Journal of Clinical Nutrition},
  volume = {114},
  pages = {1059--1069},
  year = {2021},
  doi = {10.1093/ajcn/nqab113},
  period = {2020–2024},
  category = {Applied},
}

J Nutr

Temporal Dietary Patterns are Associated with Obesity in U.S. Adults

M. M. Aqeel, J. Guo, L. Lin, S. B. Gelfand, E. J. Delp, A. Bhadra, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller

Journal of Nutrition· ASN press release , 2020

DOI Bib

@article{aqeel2020temporal,
  title = {{Temporal Dietary Patterns are Associated with Obesity in U.S. Adults}},
  author = {Aqeel, M. M. and Guo, J. and Lin, L. and Gelfand, S. B. and Delp, E. J. and Bhadra, A. and Richards, E. A. and Hennessy, E. and Eicher-Miller, H. A.},
  journal = {Journal of Nutrition},
  volume = {150},
  pages = {3259--3268},
  year = {2020},
  doi = {10.1093/jn/nxaa287},
  period = {2020–2024},
  category = {Applied},
}

PHN

Older adults with obesity have higher risks of some micronutrient inadequacies and lower overall dietary quality compared to peers with a healthy weight, National Health and Nutrition Examination Surveys (NHANES), 2011-2014

S. Jun, A. E. Cowan, A. Bhadra, K. W. Dodd, J. T. Dwyer, H. A. Eicher-Miller, J. Gahche, P. M. Guenther, N. Potischman, J. A. Tooze, and R. L. Bailey

Public Health Nutrition, 2020

DOI Bib

@article{jun2020older,
  title = {{Older adults with obesity have higher risks of some micronutrient inadequacies and lower overall dietary quality compared to peers with a healthy weight, National Health and Nutrition Examination Surveys (NHANES), 2011-2014}},
  author = {Jun, S. and Cowan, A. E. and Bhadra, A. and Dodd, K. W. and Dwyer, J. T. and Eicher-Miller, H. A. and Gahche, J. and Guenther, P. M. and Potischman, N. and Tooze, J. A. and Bailey, R. L.},
  journal = {Public Health Nutrition},
  volume = {23},
  pages = {2268--2279},
  year = {2020},
  doi = {10.1017/S1368980020000257},
  period = {2020–2024},
  category = {Applied},
}

Nutrients

The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review

M. Aqeel, A. Forster, E. A. Richards, E. Hennessy, B. McGowan, A. Bhadra, J. Guo, S. Gelfand, E. Delp, and H. A. Eicher-Miller

Nutrients(Special Issue on Meal Timing to Improve Human Health) · corrigendum , 2020

DOI Bib

@article{aqeel2020effect,
  title = {{The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review}},
  author = {Aqeel, M. and Forster, A. and Richards, E. A. and Hennessy, E. and McGowan, B. and Bhadra, A. and Guo, J. and Gelfand, S. and Delp, E. and Eicher-Miller, H. A.},
  journal = {Nutrients},
  volume = {12},
  pages = {221},
  year = {2020},
  doi = {10.3390/nu12010221},
  period = {2020–2024},
  category = {Applied},
}

Appetite

Distance metrics optimized for clustering temporal dietary patterning among U.S. adults

H. A. Eicher-Miller, S. Gelfand, Y. Hwang, E. Delp, A. Bhadra, and J. Guo

Appetite, 2020

DOI Bib

@article{eichermiller2020distance,
  title = {{Distance metrics optimized for clustering temporal dietary patterning among U.S. adults}},
  author = {Eicher-Miller, H. A. and Gelfand, S. and Hwang, Y. and Delp, E. and Bhadra, A. and Guo, J.},
  journal = {Appetite},
  volume = {144},
  pages = {104451},
  year = {2020},
  doi = {10.1016/j.appet.2019.104451},
  period = {2020–2024},
  category = {Applied},
}

Nutrients

Total Usual Micronutrient Intakes Compared to the Dietary Reference Intakes among U.S. Adults by Food Security Status

A. E. Cowan, S. Jun, J. A. Tooze, H. A. Eicher-Miller, K. W. Dodd, J. Gahche, P. M. Guenther, J. T. Dwyer, N. Potischman, A. Bhadra, and R. L. Bailey

Nutrients(Special Issue on Nutrition among Vulnerable Populations) , 2020

DOI Bib

@article{cowan2020total,
  title = {{Total Usual Micronutrient Intakes Compared to the Dietary Reference Intakes among U.S. Adults by Food Security Status}},
  author = {Cowan, A. E. and Jun, S. and Tooze, J. A. and Eicher-Miller, H. A. and Dodd, K. W. and Gahche, J. and Guenther, P. M. and Dwyer, J. T. and Potischman, N. and Bhadra, A. and Bailey, R. L.},
  journal = {Nutrients},
  volume = {12},
  pages = {38},
  year = {2020},
  doi = {10.3390/nu12010038},
  period = {2020–2024},
  category = {Applied},
}

J Nutr

Comparison of four methods to assess the prevalence of use and estimates of usual nutrient intakes from dietary supplements among U.S. adults

A. E. Cowan, S. Jun, J. A. Tooze, K. W. Dodd, J. T. Dwyer, H. A. Eicher-Miller, J. Gahche, P. M. Guenther, N. Potischman, A. Bhadra, and R. L. Bailey

Journal of Nutrition, 2020

DOI Bib

@article{cowan2020comparison,
  title = {{Comparison of four methods to assess the prevalence of use and estimates of usual nutrient intakes from dietary supplements among U.S. adults}},
  author = {Cowan, A. E. and Jun, S. and Tooze, J. A. and Dodd, K. W. and Dwyer, J. T. and Eicher-Miller, H. A. and Gahche, J. and Guenther, P. M. and Potischman, N. and Bhadra, A. and Bailey, R. L.},
  journal = {Journal of Nutrition},
  volume = {150},
  pages = {884--893},
  year = {2020},
  doi = {10.1093/jn/nxz306},
  period = {2020–2024},
  category = {Applied},
}

2015–2019

Methodology

Stat Sci

Lasso meets horseshoe: a survey

A. Bhadra, J. Datta, N. G. Polson, and B. Willard

Statistical Science, 2019

DOI Bib

@article{bhadra2019lasso,
  title = {{Lasso meets horseshoe: a survey}},
  author = {Bhadra, A. and Datta, J. and Polson, N. G. and Willard, B.},
  journal = {Statistical Science},
  volume = {34},
  pages = {405--427},
  year = {2019},
  doi = {10.1214/19-STS700},
  period = {2015–2019},
  category = {Methodology},
}

JMLR

Prediction risk for the horseshoe regression

A. Bhadra, J. Datta, Y. Li^†, N. G. Polson, and B. Willard

Journal of Machine Learning Research, 2019

Bib HTML

@article{bhadra2019prediction,
  title = {{Prediction risk for the horseshoe regression}},
  author = {Bhadra, A. and Datta, J. and Li, Y. and Polson, N. G. and Willard, B.},
  journal = {Journal of Machine Learning Research},
  volume = {20},
  number = {78},
  pages = {1--39},
  year = {2019},
  period = {2015–2019},
  category = {Methodology},
}

JCGS

The graphical horseshoe estimator for inverse covariance matrices

Y. Li^†, B. A. Craig, and A. Bhadra

Journal of Computational and Graphical Statistics, 2019

DOI Bib Code

@article{li2019graphical,
  title = {{The graphical horseshoe estimator for inverse covariance matrices}},
  author = {Li, Y. and Craig, B. A. and Bhadra, A.},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {28},
  pages = {747--757},
  year = {2019},
  doi = {10.1080/10618600.2019.1575744},
  period = {2015–2019},
  category = {Methodology},
}

Biometrics

Inferring network structure in non-normal and mixed discrete-continuous genomic data

A. Bhadra, A. Rao, and V. Baladandayuthapani

Biometrics, 2018

DOI Bib

@article{bhadra2018inferring,
  title = {{Inferring network structure in non-normal and mixed discrete-continuous genomic data}},
  author = {Bhadra, A. and Rao, A. and Baladandayuthapani, V.},
  journal = {Biometrics},
  volume = {74},
  pages = {185--195},
  year = {2018},
  doi = {10.1111/biom.12711},
  period = {2015–2019},
  category = {Methodology},
}

SPL

An expectation-maximization scheme for measurement error models

A. Bhadra

Statistics and Probability Letters, 2017

DOI Bib

@article{bhadra2017expectationmaximization,
  title = {{An expectation-maximization scheme for measurement error models}},
  author = {Bhadra, A.},
  journal = {Statistics and Probability Letters},
  volume = {120},
  pages = {61--68},
  year = {2017},
  doi = {10.1016/j.spl.2016.09.007},
  period = {2015–2019},
  category = {Methodology},
}

The horseshoe+ estimator of ultra-sparse signals

A. Bhadra, J. Datta, N. G. Polson, and B. Willard

Bayesian Analysis, 2017

DOI Bib Blog Code

@article{bhadra2017horseshoe,
  title = {{The horseshoe+ estimator of ultra-sparse signals}},
  author = {Bhadra, A. and Datta, J. and Polson, N. G. and Willard, B.},
  journal = {Bayesian Analysis},
  volume = {12},
  pages = {1105--1131},
  year = {2017},
  doi = {10.1214/16-BA1028},
  period = {2015–2019},
  category = {Methodology},
}

Biometrika

Default Bayesian analysis with global-local shrinkage priors

A. Bhadra, J. Datta, N. G. Polson, and B. Willard

Biometrika, 2016

DOI Bib Code

@article{bhadra2016default,
  title = {{Default Bayesian analysis with global-local shrinkage priors}},
  author = {Bhadra, A. and Datta, J. and Polson, N. G. and Willard, B.},
  journal = {Biometrika},
  volume = {103},
  pages = {955--969},
  year = {2016},
  doi = {10.1093/biomet/asw041},
  period = {2015–2019},
  category = {Methodology},
}

Stat Comput

Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems

A. Bhadra and R. J. Carroll

Statistics and Computing, 2016

DOI Bib

@article{bhadra2016exact,
  title = {{Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems}},
  author = {Bhadra, A. and Carroll, R. J.},
  journal = {Statistics and Computing},
  volume = {26},
  pages = {827--840},
  year = {2016},
  doi = {10.1007/s11222-015-9572-7},
  period = {2015–2019},
  category = {Methodology},
}

Stat Comput

Adaptive particle allocation in iterated sequential Monte Carlo via approximating meta-models

A. Bhadra and E. L. Ionides

Statistics and Computing, 2016

DOI Bib

@article{bhadra2016adaptive,
  title = {{Adaptive particle allocation in iterated sequential Monte Carlo via approximating meta-models}},
  author = {Bhadra, A. and Ionides, E. L.},
  journal = {Statistics and Computing},
  volume = {26},
  pages = {393--407},
  year = {2016},
  doi = {10.1007/s11222-014-9513-x},
  period = {2015–2019},
  category = {Methodology},
}

Applied

J Nutr

Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring

R. L. Bailey, K. W. Dodd, J. J. Gahche, J. T. Dwyer, A. E. Cowan, S. Jun, H. A. Eicher-Miller, P. M. Guenther, A. Bhadra, P. R. Thomas, N. Potischman, R. J. Carroll, and J. A. Tooze

Journal of Nutrition, 2019

Highlight DOI Bib

Editor’s Choice.

@article{bailey2019best,
  title = {{Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring}},
  author = {Bailey, R. L. and Dodd, K. W. and Gahche, J. J. and Dwyer, J. T. and Cowan, A. E. and Jun, S. and Eicher-Miller, H. A. and Guenther, P. M. and Bhadra, A. and Thomas, P. R. and Potischman, N. and Carroll, R. J. and Tooze, J. A.},
  journal = {Journal of Nutrition},
  volume = {149},
  pages = {181--197},
  year = {2019},
  doi = {10.1093/jn/nxy264},
  period = {2015–2019},
  category = {Applied},
}

Oncoscience

High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma

M. Lehrer, A. Bhadra, S. Aithala, V. Ravikumar, Y. Zheng, B. Dogan, E. Bonaccio, E. S. Burnside, E. Morris, E. Sutton, G. J. Whitman, J. Net, K. Brandt, M. Ganott, M. Zuley, and A. Rao

Oncoscience, 2018

DOI Bib

@article{lehrer2018highdimensional,
  title = {{High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma}},
  author = {Lehrer, M. and Bhadra, A. and Aithala, S. and Ravikumar, V. and Zheng, Y. and Dogan, B. and Bonaccio, E. and Burnside, E. S. and Morris, E. and Sutton, E. and Whitman, G. J. and Net, J. and Brandt, K. and Ganott, M. and Zuley, M. and Rao, A.},
  journal = {Oncoscience},
  volume = {5},
  pages = {39--48},
  year = {2018},
  doi = {10.18632/oncoscience.397},
  period = {2015–2019},
  category = {Applied},
}

Nutrients

Dietary Supplement Use among U.S. Children by Family Income, Food Security Level, and Nutrition Assistance Program Participation Status in 2011–2014

S. Jun, A. E. Cowan, J. A. Tooze, J. J. Gahche, J. T. Dwyer, H. A. Eicher-Miller, A. Bhadra, P. M. Guenther, N. Potischman, K. W. Dodd, and R. L. Bailey

Nutrients(Special Issue on Advances in Dietary Supplements) , 2018

DOI Bib

@article{jun2018dietary,
  title = {{Dietary Supplement Use among U.S. Children by Family Income, Food Security Level, and Nutrition Assistance Program Participation Status in 2011–2014}},
  author = {Jun, S. and Cowan, A. E. and Tooze, J. A. and Gahche, J. J. and Dwyer, J. T. and Eicher-Miller, H. A. and Bhadra, A. and Guenther, P. M. and Potischman, N. and Dodd, K. W. and Bailey, R. L.},
  journal = {Nutrients},
  volume = {10},
  pages = {1212},
  year = {2018},
  doi = {10.3390/nu10091212},
  period = {2015–2019},
  category = {Applied},
}

Nutrients

Dietary Supplement Use Differs by Socioeconomic and Health-Related Characteristics among U.S. Adults, NHANES 2011–2014

A. E. Cowan, S. Jun, J. J. Gahche, J. A. Tooze, J. T. Dwyer, H. A. Eicher-Miller, A. Bhadra, P. M. Guenther, N. Potischman, K. W. Dodd, and R. L. Bailey

Nutrients(Special Issue on Advances in Dietary Supplements) , 2018

DOI Bib

@article{cowan2018dietary,
  title = {{Dietary Supplement Use Differs by Socioeconomic and Health-Related Characteristics among U.S. Adults, NHANES 2011–2014}},
  author = {Cowan, A. E. and Jun, S. and Gahche, J. J. and Tooze, J. A. and Dwyer, J. T. and Eicher-Miller, H. A. and Bhadra, A. and Guenther, P. M. and Potischman, N. and Dodd, K. W. and Bailey, R. L.},
  journal = {Nutrients},
  volume = {10},
  pages = {1114},
  year = {2018},
  doi = {10.3390/nu10081114},
  period = {2015–2019},
  category = {Applied},
}

Oncoscience

Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

M. Lehrer, A. Bhadra, V. Ravikumar, J. Y. Chen, M. Wintermark, S. N. Hwang, C. A. Holder, E. P. Huang, B. Fevrier-Sullivan, J. B. Freymann, and A. Rao

Oncoscience, 2017

DOI Bib

@article{lehrer2017multipleresponse,
  title = {{Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma}},
  author = {Lehrer, M. and Bhadra, A. and Ravikumar, V. and Chen, J. Y. and Wintermark, M. and Hwang, S. N. and Holder, C. A. and Huang, E. P. and Fevrier-Sullivan, B. and Freymann, J. B. and Rao, A.},
  journal = {Oncoscience},
  volume = {4},
  pages = {57--66},
  year = {2017},
  doi = {10.18632/oncoscience.353},
  period = {2015–2019},
  category = {Applied},
}

2010–2014

Methodology

Stat

Bayesian feature selection in high-dimensional regression in presence of correlated noise

G. Feldman^†, A. Bhadra, and S. Kirshner

Stat, 2014

DOI Bib

@article{feldman2014bayesian,
  title = {{Bayesian feature selection in high-dimensional regression in presence of correlated noise}},
  author = {Feldman, G. and Bhadra, A. and Kirshner, S.},
  journal = {Stat},
  volume = {3},
  pages = {258--272},
  year = {2014},
  doi = {10.1002/sta4.60},
  period = {2010–2014},
  category = {Methodology},
}

GENSIPS

Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma

A. Bhadra and V. Baladandayuthapani

In 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2013), 2013

DOI Bib

@inproceedings{bhadra2013integrative,
  title = {{Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma}},
  author = {Bhadra, A. and Baladandayuthapani, V.},
  booktitle = {2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2013)},
  pages = {1--4},
  year = {2013},
  doi = {10.1109/GENSIPS.2013.6735913},
  period = {2010–2014},
  category = {Methodology},
}

Biometrics

Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis

A. Bhadra and B. K. Mallick

Biometrics, 2013

Highlight DOI Bib

Biometrics June 2013 issue Highlights.

@article{bhadra2013joint,
  title = {{Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis}},
  author = {Bhadra, A. and Mallick, B. K.},
  journal = {Biometrics},
  volume = {69},
  pages = {447--457},
  year = {2013},
  doi = {10.1111/biom.12021},
  period = {2010–2014},
  category = {Methodology},
}

JASA

Malaria in Northwest India: Data analysis via partially observed stochastic differential equation models driven by Lévy noise

A. Bhadra, E. L. Ionides, K. Laneri, M. Pascual, M. Bouma, and R. C. Dhiman

Journal of the American Statistical Association, 2011

Highlight DOI Bib

One of the featured articles in JASA Applications & Case Studies, June 2011 issue.

@article{bhadra2011malaria,
  title = {{Malaria in Northwest India: Data analysis via partially observed stochastic differential equation models driven by Lévy noise}},
  author = {Bhadra, A. and Ionides, E. L. and Laneri, K. and Pascual, M. and Bouma, M. and Dhiman, R. C.},
  journal = {Journal of the American Statistical Association},
  volume = {106},
  pages = {440--451},
  year = {2011},
  doi = {10.1198/jasa.2011.ap10323},
  period = {2010–2014},
  category = {Methodology},
}

AoS

Iterated filtering

E. L. Ionides, A. Bhadra, Y. Atchadé, and A. A. King

Annals of Statistics, 2011

DOI Bib

@article{ionides2011iterated,
  title = {{Iterated filtering}},
  author = {Ionides, E. L. and Bhadra, A. and Atchadé, Y. and King, A. A.},
  journal = {Annals of Statistics},
  volume = {39},
  pages = {1776--1802},
  year = {2011},
  doi = {10.1214/11-AOS886},
  period = {2010–2014},
  category = {Methodology},
}

JRSSB

Invited discussion of “Riemann manifold Langevin and Hamiltonian Monte Carlo methods” by M. Girolami and B. Calderhead

A. Bhadra

Journal of the Royal Statistical Society, Series B, 2011

DOI Bib PDF

@article{bhadra2011invited,
  title = {{Invited discussion of “Riemann manifold Langevin and Hamiltonian Monte Carlo methods” by M. Girolami and B. Calderhead}},
  author = {Bhadra, A.},
  journal = {Journal of the Royal Statistical Society, Series B},
  volume = {73},
  pages = {173--174},
  year = {2011},
  doi = {10.1111/j.1467-9868.2010.00765.x},
  period = {2010–2014},
  category = {Methodology},
}

PLoS CB

Forcing versus feedback: Epidemic malaria and monsoon rains in Northwest India

K. Laneri^*, A. Bhadra^*, E. L. Ionides, M. Bouma, R. C. Dhiman, R. S. Yadav, and M. Pascual

PLoS Computational Biology, 2010

Highlight DOI Bib

Cover Article, September 2010 issue.

@article{laneri2010forcing,
  title = {{Forcing versus feedback: Epidemic malaria and monsoon rains in Northwest India}},
  author = {Laneri, K. and Bhadra, A. and Ionides, E. L. and Bouma, M. and Dhiman, R. C. and Yadav, R. S. and Pascual, M.},
  journal = {PLoS Computational Biology},
  volume = {6},
  pages = {e1000898},
  year = {2010},
  doi = {10.1371/journal.pcbi.1000898},
  period = {2010–2014},
  category = {Methodology},
}

JRSSB

Contributed discussion of “Particle Markov chain Monte Carlo methods” by C. Andrieu, A. Doucet and R. Holenstein

A. Bhadra

Journal of the Royal Statistical Society, Series B, 2010

DOI Bib PDF

@article{bhadra2010contributed,
  title = {{Contributed discussion of “Particle Markov chain Monte Carlo methods” by C. Andrieu, A. Doucet and R. Holenstein}},
  author = {Bhadra, A.},
  journal = {Journal of the Royal Statistical Society, Series B},
  volume = {72},
  pages = {314--315},
  year = {2010},
  doi = {10.1111/j.1467-9868.2009.00736.x},
  period = {2010–2014},
  category = {Methodology},
}

Dissertation

PhD

Time series analysis for nonlinear dynamical systems with applications to modeling of infectious diseases

A. Bhadra

University of Michigan, 2010

Bib PDF

@phdthesis{bhadra2010time,
  title = {{Time series analysis for nonlinear dynamical systems with applications to modeling of infectious diseases}},
  author = {Bhadra, A.},
  school = {University of Michigan},
  year = {2010},
  period = {2010–2014},
  category = {Dissertation},
}