1 citations · 2 across the 5 of their papers we have counts for
5 papers
Dimension Reduction via Supervised Clustering of Regression Coefficients: A Review
Suchit Mehrotra
The development and use of dimension reduction methods is prevalent in modern statistical literature. This paper reviews a class of dimension reduction techniques which aim to simu…
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims
Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra +4
We ascertain and compare the performances of AutoML tools on large, highly imbalanced healthcare datasets. We generated a large dataset using historical administrative claims inclu…
Variational Inference for Shrinkage Priors: The R package vir
Suchit Mehrotra, Arnab Maity
We present vir, an R package for variational inference with shrinkage priors. Our package implements variational and stochastic variational algorithms for linear and probit regress…
Divide-and-Conquer MCMC for Multivariate Binary Data
Suchit Mehrotra, Halley Brantley, Peter Onglao +5
The analysis of large scale medical claims data has the potential to improve quality of care by generating insights which can be used to create tailored medical programs. In partic…
Simultaneous Variable Selection, Clustering, and Smoothing in Function on Scalar Regression
Suchit Mehrotra, Arnab Maity
We address the problem of multicollinearity in a function-on-scalar regression model by using a prior which simultaneously selects, clusters, and smooths functional effects. Our me…