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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...
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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...
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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 ...
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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...
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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...
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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 ...
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04/07/2021
Modeling a sequence of multinomial data with randomly varying probabilities
We consider a sequence of variables having multinomial distribution with...
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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...
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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...
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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,...
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12/31/2017