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06/21/2021
Scalable Bayesian inference for time series via divide-and-conquer
Bayesian computational algorithms tend to scale poorly as data size incr...
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08/18/2020
Bayesian neural networks and dimensionality reduction
In conducting non-linear dimensionality reduction and feature learning, ...
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04/08/2020
Posterior computation with the Gibbs zig-zag sampler
Markov chain Monte Carlo (MCMC) sampling algorithms have dominated the l...
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07/10/2019
Bayesian inferences on uncertain ranks and orderings
It is common to be interested in rankings or order relationships among e...
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05/27/2019
Efficient posterior sampling for high-dimensional imbalanced logistic regression
High-dimensional data are routinely collected in many application areas....
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04/21/2019