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06/09/2023
Semiparametric posterior corrections
We present a new approach to semiparametric inference using corrected po...
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05/12/2023
A Causal Roadmap for Hybrid Randomized and Real-World Data Designs: Case Study of Semaglutide and Cardiovascular Outcomes
Introduction: Increasing interest in real-world evidence has fueled the ...
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04/19/2023
Martingale Posterior Neural Processes
A Neural Process (NP) estimates a stochastic process implicitly defined ...
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07/25/2022
Causal predictive inference and target trial emulation
Causal inference from observational data can be viewed as a missing data...
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06/13/2022
Density Estimation with Autoregressive Bayesian Predictives
Bayesian methods are a popular choice for statistical inference in small...
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02/21/2022
A Predictive Approach to Bayesian Nonparametric Survival Analysis
Bayesian nonparametric methods are a popular choice for analysing surviv...
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06/11/2021
Conformal Bayesian Computation
We develop scalable methods for producing conformal Bayesian predictive ...
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03/29/2021
Martingale Posterior Distributions
The prior distribution on parameters of a likelihood is the usual starti...
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05/21/2019
On the marginal likelihood and cross-validation
In Bayesian statistics, the marginal likelihood, also known as the evide...
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02/08/2019