Soudeep Deb | DeepAI

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Featured Co-authors

Ruey S. Tsay
12 publications
Kaushik Jana
4 publications
Candace Berrett
3 publications
Rishideep Roy
3 publications
Shubhabrata Das
2 publications
Grant Nielson
1 publication
Manidipa Majumdar
1 publication
Manit Paul
1 publication
Souvik Bag
1 publication
Kapil Gupta
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Adam Simpson
1 publication

∙ 05/03/2023

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

Although there is substantial literature on identifying structural chang...

0 Siddharth Rawat, et al. ∙

∙ 03/22/2023

Real-time forecasting within soccer matches through a Bayesian lens

This paper employs a Bayesian methodology to predict the results of socc...

0 Chinmay Divekar, et al. ∙

∙ 03/22/2023

Optimal selection of the starting lineup for a football team

The success of a football team depends on various individual skills and ...

0 Soudeep Deb, et al. ∙

∙ 10/14/2022

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

In this article, we study the effect of vector-valued interventions in v...

0 Manit Paul, et al. ∙

∙ 01/16/2022

A review and recommendations on variable selection methods in regression models for binary data

The selection of essential variables in logistic regression is vital bec...

0 Souvik Bag, et al. ∙

∙ 07/05/2021

Nonparametric quantile regression for time series with replicated observations and its application to climate data

This paper proposes a model-free nonparametric estimator of conditional ...

0 Soudeep Deb, et al. ∙

∙ 04/07/2021

Modeling a sequence of multinomial data with randomly varying probabilities

We consider a sequence of variables having multinomial distribution with...

0 Soudeep Deb, et al. ∙

∙ 02/18/2021

A mathematical take on the competitive balance of a football league

Competitive balance in a football league is extremely important from the...

0 Soudeep Deb, et al. ∙

∙ 04/07/2020

Forecasting count data using time series model with exponentially decaying covariance structure

Count data appears in various disciplines. In this work, a new method to...

0 Soudeep Deb, et al. ∙

∙ 03/24/2020

A time series method to analyze incidence pattern and estimate reproduction number of COVID-19

The ongoing pandemic of Coronavirus disease (COVID-19) emerged in Wuhan,...

0 Soudeep Deb, et al. ∙

∙ 12/31/2017

Spatio-temporal models with space-time interaction and their applications to air pollution data

It is of utmost importance to have a clear understanding of the status o...

0 Soudeep Deb, et al. ∙

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