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20122026
most citedFrequentist coverage and sup-norm convergence rate in Gaussian process regression

36 citations · 65 across the 17 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

stat.ME2018

A Modified Sequential Probability Ratio Test

Sandipan Pramanik, Valen E. Johnson, Anirban Bhattacharya

We describe a modified sequential probability ratio test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of…

stat.AP2018

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…

stat.ME2018

Signal Adaptive Variable Selector for the Horseshoe Prior

Pallavi Ray, Anirban Bhattacharya

In this article, we propose a simple method to perform variable selection as a post model-fitting exercise using continuous shrinkage priors such as the popular horseshoe prior. Th…

cs.LG2018

Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging

Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya +1

Sequential decision making for lifetime maximization is a critical problem in many real-world applications, such as medical treatment and portfolio selection. In these applications…

nucl-th2018

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…

stat.CO2018

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…