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

36 citations · 97 across the 46 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

stat.ME2025

Stationary Point Constrained Inference via Diffeomorphisms

Michael Price, Debdeep Pati, Ning Ning

Stationary points or derivative zero crossings of a regression function correspond to points where a trend reverses, making their estimation scientifically important. Existing appr…

stat.ME2025

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data

Arhit Chakrabarti, Yang Ni, Debdeep Pati +1

We consider the problem of clustering grouped data for which the observations may include group-specific variables in addition to the variables that are shared across groups. This…

stat.ME2025

An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data

Qingyang Liu, Debdeep Pati, Dipankar Bandyopadhyay

This manuscript presents an innovative statistical model to quantify periodontal disease in the context of complex medical data. A mixed-effects model incorporating skewed random e…

stat.ME2025

On Quantification of Borrowing of Information in Hierarchical Bayesian Models

Prasenjit Ghosh, Anirban Bhattacharya, Debdeep Pati

In this work, we offer a thorough analytical investigation into the role of shared hyperparameters in a hierarchical Bayesian model, examining their impact on information borrowing…

stat.ME2025

Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests

Somjit Roy, Pritam Dey, Bani K. Mallick +1

Symbolic regression has emerged as a powerful tool for artificial intelligence-driven scientific discovery by learning interpretable analytical expressions that reveal governing re…

stat.ME2025★ 1 cited

A monotone single index model for spatially referenced multistate current status data

Snigdha Das, Minwoo Chae, Debdeep Pati +1

Assessment of multistate disease progression is commonplace in biomedical research, such as, in periodontal disease (PD). However, the presence of multistate current status endpoin…