4 papers · 1 filter
Multivariate Varying-Coefficient BART with Graphical Horseshoe Priors
Soham Ghosh, Sameer K. Deshpande
Modern multivariate regression problems involve several related outcomes whose regression effects are not only nonlinear, heterogeneous, and outcome-specific, but also where the re…
High-dimensional regression with outcomes of mixed-type using the multivariate spike-and-slab LASSO
Soham Ghosh, Sameer K. Deshpande
We consider a high-dimensional multi-outcome regression in which possibly dependent, binary and continuous outcomes are regressed onto covariates. We model the observed ou…
Fitting sparse high-dimensional varying-coefficient models with Bayesian regression tree ensembles
Soham Ghosh, Saloni Bhogale, Sameer K. Deshpande
By allowing the effects of covariates in a linear regression model to vary as functions of additional effect modifiers, varying-coefficient models (VCMs) strike a compellin…
Scalable piecewise smoothing with BART
Ryan Yee, Soham Ghosh, Sameer K. Deshpande
Although it is an extremely effective, easy-to-use, and increasingly popular tool for nonparametric regression, the Bayesian Additive Regression Trees (BART) model is limited by th…