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Journal Articles
- 2024
[j7]Jorge Loría
, Anindya Bhadra:
SURE-tuned bridge regression. Stat. Comput. 34(1): 30 (2024)- 2022
- [j6]Ksheera Sagar, Anindya Bhadra:
A Laplace Mixture Representation of the Horseshoe and Some Implications. IEEE Signal Process. Lett. 29: 2547-2551 (2022) - 2021
- [j5]Yunfan Li, Jyotishka Datta, Bruce A. Craig, Anindya Bhadra:
Joint mean-covariance estimation via the horseshoe. J. Multivar. Anal. 183: 104716 (2021) - 2019
- [j4]Anindya Bhadra, Jyotishka Datta, Yunfan Li, Nicholas G. Polson, Brandon T. Willard:
Prediction Risk for the Horseshoe Regression. J. Mach. Learn. Res. 20: 78:1-78:39 (2019) - 2016
- [j3]Anindya Bhadra, Edward L. Ionides:
Adaptive particle allocation in iterated sequential Monte Carlo via approximating meta-models. Stat. Comput. 26(1-2): 393-407 (2016) - [j2]Anindya Bhadra, Raymond J. Carroll:
Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems. Stat. Comput. 26(4): 827-840 (2016) - 2010
- [j1]Karina Laneri, Anindya Bhadra, Edward L. Ionides, Menno J. Bouma, Ramesh C. Dhiman, Rajpal S. Yadav, Mercedes Pascual:
Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India. PLoS Comput. Biol. 6(9) (2010)
Conference and Workshop Papers
- 2023
- [c3]Jiaqi Guo, Luotao Lin, Marah M. Aqeel, Saul B. Gelfand, Heather A. Eicher-Miller, Anindya Bhadra, Erin Hennessy, Elizabeth A. Richards, Edward J. Delp:
Joint Temporal Patterns By Integrating Diet and Physical Activity. ICDH 2023: 13-23 - [c2]Jiaqi Guo, Marah M. Aqeel, Luotao Lin, Saul B. Gelfand, Heather A. Eicher-Miller, Anindya Bhadra, Erin Hennessy, Elizabeth A. Richards, Edward J. Delp:
Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults. ICHI 2023: 214-224 - 2013
- [c1]Anindya Bhadra, Veerabhadran Baladandayuthapani:
Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. GENSiPS 2013: 1-4
Informal and Other Publications
- 2024
- [i3]Jorge Loría, Anindya Bhadra:
Deep Kernel Posterior Learning under Infinite Variance Prior Weights. CoRR abs/2410.01284 (2024) - 2023
- [i2]Jorge Loría, Anindya Bhadra:
Posterior Inference on Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance. CoRR abs/2305.10664 (2023) - 2021
- [i1]Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, Vadim Sokolov, Jianeng Xu:
Merging Two Cultures: Deep and Statistical Learning. CoRR abs/2110.11561 (2021)
Coauthor Index
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