activity
20152026
most citedA model for the spread of an epidemic from local to global: A case study of COVID-19 in India

5 citations · 8 across the 12 of their papers we have counts for

collaborators

14 papers

stat.ME2026

Geometry-Adaptive Clustering on High-Dimensional Tori

Surojit Biswas, Soumyadip Paik, Buddhananda Banerjee

Multivariate angular data lie on a torus, but clustering methods often use the flat torus. We introduce curved-torus energy (CTE), a position-dependent dissimilarity based on restr…

stat.ME2026

Distribution-Free test for Changepoint Detection in Angular Mean Direction: Application in Finance

Surojit Biswas, Buddhananda Banerjee

In this paper, we propose a distribution-free test for detecting changepoint in the mean direction of angular data. The uncertainty in angular measurements is quantified through th…

stat.ME2026

Hyperbolic statistical inference for Treatment Effects with Circular biomarker of astigmatism

Buddhananda Banerjee, Surojit Biswas, Daitari Prusty

Circular biomarkers arise naturally in many biomedical applications, particularly in ophthalmology, where angular measurements such as astigmatism are routinely recorded. Similar d…

stat.ME2025

A Semi-Parametric Torus-to-Torus Regression Model with Geometric Loss: Application to Cyclone Data

Surojit Biswas, Buddhananda Banerjee

This study introduces a novel torus-to-torus regression framework to improve the analysis and prediction of cyclone-driven wind-wave directional dynamics. This research, to our kno…

stat.ME2025

Change-point problem: Direct estimation using a geometry inspired identifiable reparameterization

Buddhananda Banerjee, Arnab Kumar Laha

Estimation of mean shift in a temporally ordered sequence of random variables with a possible existence of change-point is an important problem in many disciplines. In the availabl…

stat.ME2024

Semi-parametric least-area linear-circular regression through Möbius transformation

Surojit Biswas, Buddhananda Banerjee

This paper introduces a novel regression model designed for angular response variables with linear predictors, utilizing a generalized Möbius transformation to define the regressio…