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Statistical Analysis of Temperature Distributions in Vietnam

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Martingale Posteriors for Structured Data

A universal model for Bayesian supervised learning

Dependent random measures for modelling exchangeable and non-exchangeable data

Wasserstein gradient boosting with application for individual-level Bayesian inference and prediction

Scalable diffusion posterior sampling in nonparametric Bayesian inverse problems

Martingale Posteriors for Structured Data

A generalized functional delta method with applications to Bayesian model selection

Online Bernstein-von Mises theorem

Testing the equality of mean densities with an application to climate change in Vietnam 

From Images to Detection: Machine Learning for Blood Pattern Classification