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09/09/2022
Strong uniform laws of large numbers for bootstrap means and other randomly weighted sums
This article establishes novel strong uniform laws of large numbers for ...
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05/06/2022
Consistency of mixture models with a prior on the number of components
This article establishes general conditions for posterior consistency of...
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09/06/2021
Bayesian data selection
Insights into complex, high-dimensional data can be obtained by discover...
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03/28/2021
Bayesian Optimal Experimental Design for Inferring Causal Structure
Inferring the causal structure of a system typically requires interventi...
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10/10/2020
Inference in generalized bilinear models
Latent factor models are widely used to discover and adjust for hidden v...
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07/24/2020
Robust and Reproducible Model Selection Using Bagged Posteriors
Bayesian model selection is premised on the assumption that the data are...
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12/15/2019
Using bagged posteriors for robust inference and model criticism
Standard Bayesian inference is known to be sensitive to model misspecifi...
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07/22/2019
Asymptotic normality, concentration, and coverage of generalized posteriors
Generalized likelihoods are commonly used to obtain consistent estimator...
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02/05/2018
Fast and accurate approximation of the full conditional for gamma shape parameters
The gamma distribution arises frequently in Bayesian models, but there i...
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01/09/2018
A detailed treatment of Doob's theorem
Doob's theorem provides guarantees of consistent estimation and posterio...
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01/01/2018
An elementary derivation of the Chinese restaurant process from Sethuraman's stick-breaking process
The Chinese restaurant process and the stick-breaking process are the tw...
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08/30/2013