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A Bayesian Quantile Regression with Functional Covariates Prone to Measurement Error with Application to NHANES 2013-2014

Roger Zoh, Ph.D.

Roger Zoh is an Associate Professor in Epidemiology and Biostatistics at Indiana University. His research broadly focuses on the development of Bayesian statistical methods for the analysis of high-dimensional. Dr. Zoh has a particular interest in the joint analysis of multiple or multiview data set.

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A Bayesian Quantile Regression with Functional Covariates Prone to Measurement Error with Application to NHANES 2013-2014