3 papers
stat.ME2026
Dirichlet Process Mixtures of Trees with Gaussian Process Splits: A Bayesian Nonparametric Framework with Posterior Contraction Rate
Subhasish Basak, Anik Roy, Sourabh Bhattacharya
We propose a Bayesian nonparametric mixture of regression trees with a Dirichlet process prior over tree-parameter pairs, enabling data-driven selection of ensemble size and unifyi…
stat.AP2025
Monitoring of Drift Patterns in Image Data
Subhasish Basak, Anik Roy, Partha Sarathi Mukherjee
Sequential monitoring of images has broad applications across various domains, including climate science, ecosystem monitoring, medical diagnostics, and so forth. In many such appl…
stat.AP2025
Estimation of Piecewise Continuous Regression Function in Finite Dimension using Oblique Regression Tree with Applications in Image Denoising
Subhasish Basak, Anik Roy, Partha Sarathi Mukherjee
Decision trees are one of the most widely used nonparametric methods for regression and classification. In existing literature, decision tree-based methods have been used for estim…