GP for Spatio-Temporal Mapping of Oceanographic Observations

Discover Gaussian Processes (GP) for spatio-temporal mapping of oceanographic observations. This lecture will explore the theory and practice of spatio-temporal interpolation, with a focus on GP regression. Understand the foundational concepts that make GP regression a standard method widely used in oceanography. Strengthen knowledge of mean functions, covariance functions and parameter estimation, and GP for regression for interpolating oceanographic data.