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03/04/2023
Discussion of Martingale Posterior Distributions
I briefly discuss the Martingale Posteriors Distributions paper by Edwin...
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10/20/2022
Graphical model inference with external network data
A frequent challenge when using graphical models in applications is that...
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01/14/2022
Specification analysis for technology use and teenager well-being: statistical validity and a Bayesian proposal
A key issue in science is assessing robustness to data analysis choices,...
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10/01/2021
Confounder importance learning for treatment effect inference
We address applied and computational issues for the problem of multiple ...
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06/02/2021
General Bayesian Loss Function Selection and the use of Improper Models
Statisticians often face the choice between using probability models or ...
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04/20/2021
Partial Correlation Graphical LASSO
Standard likelihood penalties to learn Gaussian graphical models are bas...
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12/14/2020
Approximate Laplace approximations for scalable model selection
We propose the approximate Laplace approximation (ALA) to evaluate integ...
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04/28/2020
Dependence in elliptical partial correlation graphs
The Gaussian model is equipped with strong properties that facilitate st...
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07/31/2019
Additive Bayesian variable selection under censoring and misspecification
We study the effect and interplay of two important issues on Bayesian mo...
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10/23/2018
Heterogeneous large datasets integration using Bayesian factor regression
Two key challenges in modern statistical applications are the large amou...
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06/11/2018