MutiOutput Gaussian Processes

Description: In this 1-hour talk, I motivate and present the MOGP, the main covariance functions as well as some examples and demos.

Bayesian Nonparametric Spectral Estimation

Description: The use of Gaussian process for Bayesian interpolation of time series in order to compute posterior distributions of the spectrum of latent time series.

A Gentle Introduction to Gaussian Proceses with Applications

Description: An intuitive presentation of Gaussian process (GP) regression models and presents some applied work using GPs. Slides here.