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07/30/2023
A Switching State-Space Transmission Model for Tracking Epidemics and Assessing Interventions
The effective control of infectious diseases relies on accurate assessme...
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07/19/2023
Robust Bayesian Functional Principal Component Analysis
We develop a robust Bayesian functional principal component analysis (FP...
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06/28/2023
Generalized Bayesian Multidimensional Scaling and Model Comparison
Multidimensional scaling is widely used to reconstruct a map with the po...
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04/14/2020
Particle Gibbs Sampling for Bayesian Phylogenetic inference
The combinatorial sequential Monte Carlo (CSMC) has been demonstrated to...
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02/07/2020
Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo
Nonlinear differential equations (DEs) are used in a wide range of scien...
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06/13/2019
Random Tessellation Forests
Space partitioning methods such as random forests and the Mondrian proce...
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01/01/2019
A Bayesian Spatial Model for Imaging Genetics
In recent work Greenlaw et al. (Bioinformatics, 2017) have developed a B...
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06/22/2018
