noise package#
This subpackage provides the tools needed to build expressive observation
processes for tinygp Gaussian process models. The most commonly used noise
model is Diagonal, which adds a constant diagonal matrix to the process
covariance to represent per-observation noise. This subpackage also includes a
Dense model for adding a full rank observation model, and
Banded to capture noise that can be represented by a banded matrix.