49 citations · 71 across the 14 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
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…
A review and recommendations on variable selection methods in regression models for binary data
Souvik Bag, Kapil Gupta, Soudeep Deb
The selection of essential variables in logistic regression is vital because of its extensive use in medical studies, finance, economics and related fields. In this paper, we explo…
Nonparametric quantile regression for time series with replicated observations and its application to climate data
Soudeep Deb, Kaushik Jana
This paper proposes a model-free nonparametric estimator of conditional quantile of a time series regression model where the covariate vector is repeated many times for different v…
Forecasting Elections from Partial Information Using a Bayesian Model for a Multinomial Sequence of Data
Soudeep Deb, Rishideep Roy, Shubhabrata Das
Predicting the winner of an election is of importance to multiple stakeholders. To formulate the problem, we consider an independent sequence of categorical data with a finite numb…
A mathematical take on the competitive balance of a football league
Soudeep Deb
Competitive balance in a football league is extremely important from the perspective of economic growth of the industry. Many researchers have earlier proposed different measures o…
Analyzing count data using a time series model with an exponentially decaying covariance structure
Soudeep Deb
Count data appears in various disciplines. In this work, a new method to analyze time series count data has been proposed. The method assumes exponentially decaying covariance stru…
A time series method to analyze incidence pattern and estimate reproduction number of COVID-19
Soudeep Deb, Manidipa Majumdar
The ongoing pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China in the end of 2019. It has already affected more than 300,000 people, with the number of deaths neari…
Spatio-temporal models with space-time interaction and their applications to air pollution data
Soudeep Deb, Ruey S. Tsay
It is of utmost importance to have a clear understanding of the status of air pollution and to provide forecasts and insights about the air quality to the general public and resear…
Spatial modeling of shot conversion in soccer to single out goalscoring ability
Soudeep Deb, Debangan Dey
Goals are results of pin-point shots and it is a pivotal decision in soccer when, how and where to shoot. The main contribution of this study is two-fold. At first, after showing t…