5 papers
Conformity-Based Bayesian Projective Prediction
Arkaprava Roy, Malay Ghosh
We propose a general robust prediction framework, termed conformity-based projective prediction (CPP), that integrates Bayesian predictive modeling with ideas from conformity-based…
An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility
Sampreeti Bhattacharya, Arkaprava Roy
Aqueous solubility is a key property in early-stage drug discovery, but most predictive models merge physicochemical descriptors and molecular graph information into a single repre…
Conic Sparsity: Estimation of Regression Parameters in Closed Convex Polyhedral Cones
Neha Agarwala, Arkaprava Roy, Anindya Roy
Statistical problems often involve linear equality and inequality constraints on model parameters. Direct estimation of parameters restricted to general polyhedral cones, particula…
Spatial von-Mises Fisher Regression for Directional Data
Zhou Lan, Arkaprava Roy
Spatially varying directional data are routinely observed in several modern applications such as meteorology, biology, geophysics, engineering, etc. However, only a few approaches…
Double soft-thresholded model for multi-group scalar on vector-valued image regression
Arkaprava Roy, Zhou Lan
In this paper, we develop a novel spatial variable selection method for scalar on vector-valued image regression in a multi-group setting. Here, 'vector-valued image' refers to the…