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09/04/2023
Efficient computation of predictive probabilities in probit models via expectation propagation
Binary regression models represent a popular model-based approach for bi...
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09/04/2023
Efficient expectation propagation for posterior approximation in high-dimensional probit models
Bayesian binary regression is a prosperous area of research due to the c...
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07/19/2023
Entropy regularization in probabilistic clustering
Bayesian nonparametric mixture models are widely used to cluster observa...
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07/03/2023
Conditional partial exchangeability: a probabilistic framework for multi-view clustering
Standard clustering techniques assume a common configuration for all fea...
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08/01/2022
Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market
Reliable estimates of volatility and correlation are fundamental in econ...
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05/10/2022
Bayesian clustering of multiple zero-inflated outcomes
Several applications involving counts present a large proportion of zero...
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03/26/2022