A Comparative Study of Bayesian Neural Networks and Machine Learning Based on COVID-19 Image Classification

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 hierarchical modeling for latency and amplitude estimation of event-related potentials

Bayesian hierarchical modeling for latency estimation of event-related potentials

Bayesian spatiotemporal modeling of CV-fMRI via kernel convolutions