Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India. - Karina Laneri; Anindya Bhadra; Edward L. Ionides; Menno J. Bouma; Ramesh C. Dhiman; Rajpal S. Yadav; Mercedes Pascual (PLoS Comput. Biol., 2010)

Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. - Anindya Bhadra; Veerabhadran Baladandayuthapani (GENSiPS, 2013)

Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems. - Anindya Bhadra; Raymond J. Carroll (Stat. Comput., 2016)

Adaptive particle allocation in iterated sequential Monte Carlo via approximating meta-models. - Anindya Bhadra; Edward L. Ionides (Stat. Comput., 2016)

Prediction Risk for the Horseshoe Regression. - Anindya Bhadra; Jyotishka Datta; Yunfan Li 005; Nicholas G. Polson; Brandon T. Willard (J. Mach. Learn. Res., 2019)

Merging Two Cultures: Deep and Statistical Learning. - Anindya Bhadra; Jyotishka Datta; Nicholas G. Polson; Vadim Sokolov; Jianeng Xu (CoRR, 2021)

Joint mean-covariance estimation via the horseshoe. - Yunfan Li 005; Jyotishka Datta; Bruce A. Craig; Anindya Bhadra (J. Multivar. Anal., 2021)

A Laplace Mixture Representation of the Horseshoe and Some Implications. - Ksheera Sagar; Anindya Bhadra (IEEE Signal Process. Lett., 2022)

Joint Temporal Patterns By Integrating Diet and Physical Activity. - Jiaqi Guo; Luotao Lin; Marah M. Aqeel; Saul B. Gelfand; Heather A. Eicher-Miller; Anindya Bhadra; Erin Hennessy; Elizabeth A. Richards; Edward J. Delp (ICDH, 2023)

Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults. - Jiaqi Guo; Marah M. Aqeel; Luotao Lin; Saul B. Gelfand; Heather A. Eicher-Miller; Anindya Bhadra; Erin Hennessy; Elizabeth A. Richards; Edward J. Delp (ICHI, 2023)

Posterior Inference on Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance. - Jorge Loría; Anindya Bhadra (CoRR, 2023)

Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance. - Jorge Loría; Anindya Bhadra (UAI, 2024)

SURE-tuned bridge regression. - Jorge Loría; Anindya Bhadra (Stat. Comput., 2024)

Deep Kernel Posterior Learning under Infinite Variance Prior Weights. - Jorge Loría; Anindya Bhadra (ICLR, 2025)