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20242026
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8 papers · 1 filter

stat.ME2026

Identifying Topological Differences in Two Populations of Random Geometric Objects

Satish Kumar, Subhra Sankar Dhar

We propose a statistical framework to identify topological differences in two populations of random geometric objects. The proposed framework involves first associating a topologic…

stat.ME2025

A Robust Persistent Homology : Trimming Approach

Tuhin Subhra Mahato, Subhra Sankar Dhar

This article studies the robust version of persistent homology based on trimming methodology to capture the geometric feature through support of the data in presence of outliers. P…

stat.ME2025

Least Square Estimation: SDEs Perturbed by Lévy Noise with Sparse Sample Paths

Brijesh Kumar Jha, Subhra Sankar Dhar, Akash Ashirbad Panda

This article investigates the least squares estimators (LSE) for the unknown parameters in stochastic differential equations (SDEs) that are affected by Lévy noise, particularly w…

stat.ME2025

Identifying arbitrary transformation between the slopes in scalar-on-function regression

Pratim Guha Niyogi, Subhra Sankar Dhar

In this article, we study whether the slope functions of two scalar-on-function regression models in two samples are associated with any arbitrary transformation along the vertical…

stat.ME2025

L-Estimation Approach to Tobit Models with Endogeneity and Weakly Dependent Errors

Swati Shukla, Subhra Sankar Dhar, Shalabh

This article introduces an L-estimator for the semiparametric Tobit model with endogenous regressors. The estimation procedure follows a two-stage approach: the first stage employs…

stat.ME2025

Generalized M-Estimation in Censored Regression Model under Endogeneity

Swati Shukla, Subhra Sankar Dhar, Shalabh

We propose and study M-estimation to estimate the parameters in the censored regression model in the presence of endogeneity, i.e., the Tobit model. In the course of this study, we…