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
A Comparative Study of Bayesian Neural Networks and Machine Learning Based on COVID-19 Image Classification
Bayesian hierarchical modeling for latency estimation of 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 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