11 citations · 29 across the 17 of their papers we have counts for
21 papers
Bayesian Semiparametric Hidden Markov Random Partition Fields for Factor Collapse on Graphs: A Study of Cortical Mapping of Fingertips
Blake Moya, Kevin Sitek, Arkaprava Roy +2
Understanding how the brain's cortical regions respond to stimuli like fingertip tapping is a significant challenge in neuroscience, especially with high-resolution functional magn…
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…
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…
Nonparametric Modeling of Diffusion MRI Signal in Q-space
Arkaprava Roy, Zhou Lan, Zhengwu Zhang
This paper describes a novel nonparametric model for modeling diffusion MRI signals in q-space. In q-space, diffusion MRI signal is measured for a sequence of magnetic strengths (b…
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…