The Horseshoe+ Estimator of Ultra-Sparse Signals A Bhadra, J Datta, NG Polson, B Willard Bayesian Analysis 12 (4), 1105-1131, 2017 | 213 | 2017 |
Lasso Meets Horseshoe: A Survey A Bhadra, J Datta, NG Polson, BT Willard Statistical Science 34 (3), 405-427, 2019 | 211 | 2019 |
Iterated filtering EL Ionides, A Bhadra, Y Atchadé, A King The Annals of Statistics 39 (3), 1776-1802, 2011 | 204 | 2011 |
Forcing versus feedback: epidemic malaria and monsoon rains in northwest India K Laneri, A Bhadra, EL Ionides, M Bouma, RC Dhiman, RS Yadav, ... PLoS Computational Biology 6 (9), e1000898, 2010 | 187 | 2010 |
Dietary Supplement Use Differs by Socioeconomic and Health-Related Characteristics among US Adults, NHANES 2011⁻ 2014. AE Cowan, S Jun, JJ Gahche, JA Tooze, JT Dwyer, HA Eicher-Miller, ... Nutrients 10 (8), 2018 | 166 | 2018 |
Joint High‐Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis A Bhadra, BK Mallick Biometrics 69 (2), 447-457, 2013 | 120 | 2013 |
Malaria in Northwest India: Data analysis via partially observed stochastic differential equation models driven by Lévy noise A Bhadra, EL Ionides, K Laneri, M Pascual, M Bouma, RC Dhiman Journal of the American Statistical Association 106 (494), 440-451, 2011 | 88 | 2011 |
Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring RL Bailey, KW Dodd, JJ Gahche, JT Dwyer, AE Cowan, S Jun, ... The Journal of nutrition 149 (2), 181-197, 2019 | 87 | 2019 |
The Graphical Horseshoe Estimator for Inverse Covariance Matrices Y Li, BA Craig, A Bhadra Journal of Computational and Graphical Statistics 28 (3), 747-757, 2019 | 86 | 2019 |
Association of food insecurity with dietary intakes and nutritional biomarkers among US children, National Health and Nutrition Examination Survey (NHANES) 2011–2016 S Jun, AE Cowan, KW Dodd, JA Tooze, JJ Gahche, HA Eicher-Miller, ... The American Journal of Clinical Nutrition, 2021 | 72 | 2021 |
Total Usual Micronutrient Intakes Compared to the Dietary Reference Intakes among US Adults by Food Security Status AE Cowan, S Jun, JA Tooze, HA Eicher-Miller, KW Dodd, JJ Gahche, ... Nutrients 12 (1), 38, 2020 | 63 | 2020 |
Default Bayesian analysis with global-local shrinkage priors A Bhadra, J Datta, NG Polson, B Willard Biometrika 103 (4), 955-969, 2016 | 62 | 2016 |
Dietary Supplement Use among US Children by Family Income, Food Security Level, and Nutrition Assistance Program Participation Status in 2011–2014 S Jun, A Cowan, J Tooze, J Gahche, J Dwyer, H Eicher-Miller, A Bhadra, ... Nutrients 10 (9), 1212, 2018 | 55 | 2018 |
The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review M Aqeel, A Forster, EA Richards, E Hennessy, B McGowan, A Bhadra, ... Nutrients 12 (1), 221, 2020 | 54 | 2020 |
Trends in Overall and Micronutrient-Containing Dietary Supplement Use in US Adults and Children, NHANES 2007–2018 AE Cowan, JA Tooze, JJ Gahche, HA Eicher-Miller, PM Guenther, ... The Journal of Nutrition 152 (12), 2789-2801, 2022 | 43 | 2022 |
The Horseshoe-Like Regularization for Feature Subset Selection A Bhadra, J Datta, NG Polson, BT Willard Sankhya B 83, 185-214, 2021 | 37 | 2021 |
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 … S Jun, AE Cowan, A Bhadra, KW Dodd, JT Dwyer, HA Eicher-Miller, ... Public health nutrition 23 (13), 2268-2279, 2020 | 36 | 2020 |
A narrative review of nutrient based indexes to assess diet quality and the proposed total nutrient index that reflects total dietary exposures AE Cowan, S Jun, JA Tooze, KW Dodd, JJ Gahche, HA Eicher-Miller, ... Critical Reviews in Food Science and Nutrition 63 (12), 1722-1732, 2023 | 30 | 2023 |
Temporal Dietary Patterns Are Associated with Obesity in US Adults MM Aqeel, J Guo, L Lin, SB Gelfand, EJ Delp, A Bhadra, EA Richards, ... The Journal of Nutrition 150 (12), 3259-3268, 2020 | 28 | 2020 |
Horseshoe Regularisation for Machine Learning in Complex and Deep Models A Bhadra, J Datta, Y Li, N Polson International Statistical Review, 2020 | 26 | 2020 |