compops/gpo-ifac2014
Particle filter-based Gaussian process optimisation for parameter inference
Discovered public repositories for compops in the GitHub catalog.
Particle filter-based Gaussian process optimisation for parameter inference
Implementations from a graduate course following "Pattern Recognition and Machine Learning) written by Bishop and published in 2006.
Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
Inference in Gaussian models with missing data using Equalisation Maximisation
Hierarchical Bayesian approaches for robust inference in ARX models