5 citations · 14 across the 20 of their papers we have counts for
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Bayesian Mixed Multidimensional Scaling for Auditory Processing
Giovanni Rebaudo, Fernando Llanos, Bharath Chandrasekaran +1
The human brain distinguishes speech sounds by mapping acoustic signals into a latent perceptual space. This space can be estimated via multidimensional scaling (MDS), preserving t…
Bayesian Tensor Factorized Vector Autoregressive Models for Inferring Granger Causality Patterns from High-Dimensional Multi-subject Panel Neuroimaging Data
Jingjing Fan, Kevin Sitek, Bharath Chandrasekaran +1
Understanding the dynamics of functional brain connectivity patterns using noninvasive neuroimaging techniques is an important focus in human neuroscience. Vector autoregressive (V…
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 Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials
Noirrit Kiran Chandra, Abhra Sarkar, John F. de Groot +2
The availability of electronic health records (EHR) has opened opportunities to supplement increasingly expensive and difficult to carry out randomized controlled trials (RCT) with…