36 citations · 68 across the 41 of their papers we have counts for
4 papers · 1 filter
Bayesian Hierarchical Modeling on Covariance Valued Data
Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya +1
Analysis of structural and functional connectivity (FC) of human brains is of pivotal importance for diagnosis of cognitive ability. The Human Connectome Project (HCP) provides an…
Revisiting the proton-radius problem using constrained Gaussian processes
Shuang Zhou, P. Giuliani, J. Piekarewicz +2
Background: The "proton radius puzzle" refers to an eight-year old problem that highlights major inconsistencies in the extraction of the charge radius of the proton from muonic La…
The Soft Multivariate Truncated Normal Distribution with Applications to Bayesian Constrained Estimation
Allyson Souris, Anirban Bhattacharya, Debdeep Pati
We propose a new distribution, called the soft tMVN distribution, which provides a smooth approximation to the truncated multivariate normal (tMVN) distribution with linear constra…
Shape-Constrained Univariate Density Estimation
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn +1
While the problem of estimating a probability density function (pdf) from its observations is classical, the estimation under additional shape constraints is both important and cha…