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11/16/2022
Heavy-Tailed Density Estimation
A novel statistical method is proposed and investigated for estimating a...
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12/12/2019
Variable Selection Consistency of Gaussian Process Regression
Bayesian nonparametric regression under a rescaled Gaussian process prio...
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11/11/2019
Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure
Conventional analysis of neuroscience data involves computing average ne...
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10/29/2019
Joint Quantile Regression for Spatial Data
Linear quantile regression is a powerful tool to investigate how predict...
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09/12/2018
High-dimensional Bayesian Fourier Analysis For Detecting Circadian Gene Expressions
In genomic applications, there is often interest in identifying genes wh...
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11/12/2015
Bayesian Analysis of Dynamic Linear Topic Models
In dynamic topic modeling, the proportional contribution of a topic to a...
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12/04/2011
Dimension adaptability of Gaussian process models with variable selection and projection
It is now known that an extended Gaussian process model equipped with re...
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08/01/2011