Scale Mixtures of Complex Gaussians and Bayesian Shrinkage
Derive general density for scale mixtures of complex Gaussians and use them as shrinkage priors in Bayesian complex linear regression
When Deep? When Bayesian? Learn from COVID X-rays
A Comparative Study of Bayesian Neural Networks and Machine Learning Based on COVID-19 Image Classification
Bayesian Modeling of Event-related Potentials
Bayesian hierarchical modeling for latency estimation of event-related potentials
Semiparametric Latent ANOVA Model for Event-Related Potentials
We propose a semiparametric latent ANOVA model (SLAM) that unifies inference on ERP components and their association to covariates. SLAM modelsERP waveforms via a structured Gaussian process prior that encodes ERP latency in its derivative and links the subject-level latencies to covariates using a latent ANOVA.
Bayesian Modeling of Event-related Potentials
Bayesian hierarchical modeling for latency and amplitude estimation of event-related potentials
Event-related Potentials
Bayesian hierarchical modeling for latency estimation of event-related potentials
Bayesian Modeling of Complex-valued fMRI
Bayesian spatiotemporal modeling of CV-fMRI via kernel convolutions