Frank Wood

Probabilistic structure discovery in time series data

2016 · arXiv (Cornell University)

Existing methods for structure discovery in time series data construct interpretable, compositional kernels for Gaussian process regression models. While the learned Gaussian process model provides posterior mean and variance estimates, typically the structure is learned …