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05/05/2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
Artificial neural networks (ANNs) are powerful machine learning methods ...
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05/01/2023
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty
Bayesian neural networks (BNNs) have recently regained a significant amo...
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04/24/2023
Faster estimation of the Knorr-Held Type IV space-time model
In this paper we study the type IV Knorr Held space time models. Such mo...
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01/31/2022
A subsampling approach for Bayesian model selection
It is common practice to use Laplace approximations to compute marginal ...
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10/11/2021
Reversible Genetically Modified Mode Jumping MCMC
In this paper, we introduce a reversible version of a genetically modifi...
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05/01/2020
Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression"
In this rejoinder we summarize the comments, questions and remarks on th...
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03/05/2020
Flexible Bayesian Nonlinear Model Configuration
Regression models are used in a wide range of applications providing a p...
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03/18/2019
Combining Model and Parameter Uncertainty in Bayesian Neural Networks
Bayesian neural networks (BNNs) have recently regained a significant amo...
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06/06/2018