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11/28/2022
Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19
We consider a flexible Bayesian evidence synthesis approach to model the...
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11/14/2022
Inconsistency identification in network meta-analysis via stochastic search variable selection
The reliability of the results of network meta-analysis (NMA) lies in th...
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07/19/2021
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model
Competitive balance is a desirable feature in any professional sports le...
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05/03/2021
A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection
A simple and efficient adaptive Markov Chain Monte Carlo (MCMC) method, ...
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04/30/2021
Inference and model determination for Temperature-Driven non-linear Ecological Models
This paper is concerned with a contemporary Bayesian approach to the eff...
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03/24/2021
Meta Analysis of Bayes Factors
Bayes Factors, the Bayesian tool for hypothesis testing, are receiving i...
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04/10/2020
On the identifiability of Bayesian factor analytic models
A well known identifiability issue in factor analytic models is the inva...
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02/13/2020
Power-Expected-Posterior Priors as Mixtures of g-Priors
One of the main approaches used to construct prior distributions for obj...
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11/11/2019
Bayesian Prediction of Volleyball Sets Using the Truncated Skellam and the Ordered Multinomial Models
In this work, we focus on building Bayesian models to analyze the outcom...
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11/05/2019
A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games
Unlike what happens for other popular sports such as football, basketbal...
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04/17/2019
High-dimensional variable selection via low-dimensional adaptive learning
A stochastic search method, the so-called Adaptive Subspace (AdaSub) met...
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07/03/2018
