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08/31/2022
Bayesian Mixed Multidimensional Scaling for Auditory Processing
Speech sounds subtly differ on a multidimensional auditory-perceptual sp...
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06/21/2022
Bayesian Tensor Factorized Mixed Vector Autoregressive Models for Inferring Granger Causality Patterns from High-Dimensional Multi-subject Panel Neuroimaging Data
Understanding the dynamics of functional brain connectivity patterns usi...
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04/04/2022
Bayesian Semiparametric Covariate Informed Multivariate Density Deconvolution
Estimating the marginal and joint densities of the long-term average int...
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12/31/2021
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials
The availability of electronic health records (EHR) has opened opportuni...
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12/08/2021
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
Understanding how adult humans learn to categorize can shed novel insigh...
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08/19/2021
Bayesian Semiparametric Hidden Markov Tensor Partition Models for Longitudinal Data with Local Variable Selection
We present a flexible Bayesian semiparametric mixed model for longitudin...
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07/23/2021
Bayesian Precision Factor Analysis for High-dimensional Sparse Gaussian Graphical Models
Gaussian graphical models are popular tools for studying the dependence ...
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07/16/2021
Bayesian Markov Renewal Mixed Models for Vocalization Syntax
Studying the neurological, genetic and evolutionary basis of human vocal...
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07/14/2021
Bayesian Semiparametric Multivariate Density Deconvolution via Stochastic Rotation of Replicates
We consider the problem of multivariate density deconvolution where the ...
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12/11/2019
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
Estimating the marginal and joint densities of the long-term average int...
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12/05/2019
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
Understanding how the adult humans learn to to categorize novel auditory...
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05/30/2018