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09/04/2023
Expectation propagation for the smoothing distribution in dynamic probit
The smoothing distribution of dynamic probit models with Gaussian state ...
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research
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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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06/14/2023
Graph-Aligned Random Partition Model (GARP)
Bayesian nonparametric mixtures and random partition models are powerful...
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08/31/2022
Bayesian Mixed Multidimensional Scaling for Auditory Processing
Speech sounds subtly differ on a multidimensional auditory-perceptual sp...
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06/01/2022
Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution
Multinomial probit (mnp) models are fundamental and widely-applied regre...
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05/25/2022
Clustering consistency with Dirichlet process mixtures
Dirichlet process mixtures are flexible non-parametric models, particula...
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01/18/2022
Flexible clustering via hidden hierarchical Dirichlet priors
The Bayesian approach to inference stands out for naturally allowing bor...
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12/14/2021
Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
We argue for the use of separate exchangeability as a modeling principle...
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04/15/2021
Variational Inference for the Smoothing Distribution in Dynamic Probit Models
Recently, Fasano, Rebaudo, Durante and Petrone (2019) provided closed-fo...
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02/19/2019
