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09/15/2023
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
This paper aims to examine the characteristics of the posterior distribu...
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03/31/2023
Second Term Improvement to Generalised Linear Mixed Model Asymptotics
A recent article on generalised linear mixed model asymptotics, Jiang et...
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08/10/2022
Dispersion Parameter Extension of Precise Generalized Linear Mixed Model Asymptotics
We extend a recently established asymptotic normality theorem for genera...
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01/02/2022
Bayesian Generalized Additive Model Selection Including a Fast Variational Option
We use Bayesian model selection paradigms, such as group least absolute ...
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10/13/2021
Sparse Linear Mixed Model Selection via Streamlined Variational Bayes
Linear mixed models are a versatile statistical tool to study data by ac...
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03/10/2021
A Variational Inference Framework for Inverse Problems
We present a framework for fitting inverse problem models via variationa...
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10/04/2019
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects
We derive streamlined mean field variational Bayes algorithms for fittin...
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03/07/2019
Streamlined Computing for Variational Inference with Higher Level Random Effects
We derive and present explicit algorithms to facilitate streamlined comp...
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03/07/2019
Solutions to Sparse Multilevel Matrix Problems
We define and solve classes of sparse matrix problems that arise in mult...
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01/16/2018
