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01/30/2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
To achieve scalable and accurate inference for latent Gaussian processes...
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07/01/2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
The multiple-try Metropolis (MTM) algorithm is an extension of the Metro...
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01/30/2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Random partition models are widely used in Bayesian methods for various ...
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10/04/2021
Row-clustering of a Point Process-valued Matrix
Structured point process data harvested from various platforms poses new...
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07/06/2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
Many modern complex data can be represented as a graph. In models dealin...
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02/22/2021
Fused Spatial Point Process IntensityEstimation on Complex Domains
The availability of large spatial data geocoded at accurate locations ha...
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02/22/2021
Risk Based Arsenic Rational Sampling Design for Public and Environmental Health Management
Groundwater contaminated with arsenic has been recognized as a global th...
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02/16/2020