Reproducibility
- Neural Autoregressive Flows based Variational Bayes Model Averaging. (2026) The American Statistician (accepted).
- Variational inference aided variable selection for spatially structured high dimensional covariates (2025) Journal of Computational and Graphical Statistics 35(1):482-493.
- Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks (2024) IEEE Transactions on Neural Networks and Learning Systems 36(6):11176-11188.
- Comprehensive study of variational Bayes classification for dense deep neural networks (2024) Statistics and Computing 34(1):17.
- Statistically valid variational Bayes algorithm for Ising model parameter estimation (2024) Journal of Computational and Graphical Statistics 33(1):75-84.
- Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details (2023) Neural Networks 167:309-330.
- Outlier detection based on extreme value theory and applications (2023) Scandinavian Journal of Statistics 50(3):1466-1502.
- Normalizing Flows Aided Variational Inference: A Useful Alternative to MCMC? (2023) Notices of the American Mathematical Society 70(07).
- Black box variational Bayesian model averaging (2023) The American Statistician 77(1):85-96.
- Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space (2022) IEEE Transactions on Neural Networks and Learning Systems 35(1):1379-1385.
- Quantile regression neural networks: a Bayesian approach (2021) Journal of Statistical Theory and Practice 15(3):68.
- A fast and calibrated computer model emulator: an empirical Bayes approach (2021) Statistics and Computing 31(4):49.
- Data-adaptive trimming of the Hill estimator and detection of outliers in the extremes of heavy-tailed data Electronic Journal of Statistics 13(1):1872-1925.