4 papers · 1 filter
Bayesian Semiparametric Covariate Informed Multivariate Density Deconvolution
Abhra Sarkar
Estimating the marginal and joint densities of the long-term average intakes of different dietary components is an important problem in nutritional epidemiology. Since these variab…
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
Abhra Sarkar, Debdeep Pati, Bani K. Mallick +1
Estimating the marginal and joint densities of the long-term average intakes of different dietary components is an important problem in nutritional epidemiology. Since these variab…
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran +1
Understanding how adult humans learn non-native speech categories such as tone information has shed novel insights into the mechanisms underlying experience-dependent brain plastic…
Bayesian Higher Order Hidden Markov Models
Abhra Sarkar, David B. Dunson
We consider the problem of flexible modeling of higher order hidden Markov models when the number of latent states and the nature of the serial dependence, including the true order…