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08/17/2023
A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks
Network complexity and computational efficiency have become increasingly...
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06/01/2022
Sequential Bayesian Neural Subnetwork Ensembles
Deep neural network ensembles that appeal to model diversity have been u...
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09/03/2021
Variational Bayes algorithm and posterior consistency of Ising model parameter estimation
Ising models originated in statistical physics and are widely used in mo...
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08/25/2021
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details
Sparse deep neural networks have proven to be efficient for predictive m...
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06/23/2021
Black Box Variational Bayes Model Averaging
For many decades now, Bayesian Model Averaging (BMA) has been a popular ...
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11/19/2020
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges
Bayesian neural network models (BNN) have re-surged in recent years due ...
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09/28/2020
Quantile Regression Neural Networks: A Bayesian Approach
This article introduces a Bayesian neural network estimation method for ...
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08/11/2020
A Fast, Scalable, and Calibrated Computer Model Emulator: An Empirical Bayes Approach
Mathematical models implemented on a computer have become the driving fo...
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06/29/2020
Statistical Foundation of Variational Bayes Neural Networks
Despite the popularism of Bayesian neural networks in recent years, its ...
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12/05/2019
Outlier detection and a tail-adjusted boxplot based on extreme value theory
Whether an extreme observation is an outlier or not, depends strongly on...
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08/23/2018
