14 citations · 28 across the 4 of their papers we have counts for
4 papers
Paired-move multiple-try stochastic search for Bayesian variable selection
Xu Chen, Shaan Qamar, Surya T. Tokdar
Variable selection is a key issue when analyzing high-dimensional data. The explosion of data with large sample sizes and dimensionality brings new challenges to this problem in bo…
Bayesian Tensor Regression
Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson
This article proposes a Bayesian approach to regression with a scalar response against vector and tensor covariates. Tensor covariates are commonly vectorized prior to analysis, fa…
Additive Gaussian Process Regression
Shaan Qamar, Surya T. Tokdar
Additive-interactive regression has recently been shown to offer attractive minimax error rates over traditional nonparametric multivariate regression in a wide variety of settings…
Bayesian Conditional Density Filtering
Shaan Qamar, Rajarshi Guhaniyogi, David B. Dunson
We propose a Conditional Density Filtering (C-DF) algorithm for efficient online Bayesian inference. C-DF adapts MCMC sampling to the online setting, sampling from approximations t…