activity
20172026
most citedA time series method to analyze incidence pattern and estimate reproduction number of COVID-19

49 citations · 71 across the 14 of their papers we have counts for

collaborators

14 papers

stat.AP2026

Optimising football transfer strategy under budget constraints: A weighted multi-criteria approach

Tathagata Basu, Soudeep Deb, Rishideep Roy

The football transfer market is a complex, dynamic environment in which clubs compete to acquire players who strengthen their squads. While several frameworks estimate a player's w…

stat.ME2024★ 1 cited

Nonparametric method of structural break detection in stochastic time series regression model

Archi Roy, Moumanti Podder, Soudeep Deb

We propose a novel nonparametric test to detect structural breaks in the conditional mean and/or variance of a time series. Our method does not assume any specific parametric form…

stat.ME2023

A Bayesian approach to identify changepoints in spatio-temporal ordered categorical data: An application to COVID-19 data

Siddharth Rawat, Abe Durrant, Adam Simpson +3

Although there is substantial literature on identifying structural changes for continuous spatio-temporal processes, the same is not true for categorical spatio-temporal data. This…

stat.AP2023★ 1 cited

Optimal selection of the starting lineup for a football team

Soudeep Deb, Shubhabrata Das

The success of a football team depends on various individual skills and performances of the selected players as well as how cohesively they perform. We propose a two-stage process…

stat.AP2023★ 6 cited

Real-time forecasting within soccer matches through a Bayesian lens

Chinmay Divekar, Soudeep Deb, Rishideep Roy

This paper employs a Bayesian methodology to predict the results of soccer matches in real-time. Using sequential data of various events throughout the match, we utilize a multinom…

stat.AP2022

Effect of influence in voter models and its application in detecting significant interference in political elections

Manit Paul, Rishideep Roy, Soudeep Deb

In this article, we study the effect of vector-valued interventions in votes under a binary voter model, where each voter expresses their vote as a valued random variable to…