Skip to content

SLSC94/MSc_Dissertation_ChAI

Repository files navigation

MSc_Dissertation_ChAI

Applying Gaussian Processes to Commodity Prices

This repo is meant to be a reference for the MSc Dissertation in Machine Learning at UCL. There are 6 frameworks applied to the returns of aluminium and copper, namely:

  1. ARIMA
  2. Gaussian Process - GP
  3. Multitask Gaussian Process - MGP
  4. Combined Standard Multitask Gaussian Process - CSMGP (new)
  5. Warped Gaussian Process - WGP
  6. Warped Combined Standard Multitask Gaussian Process - WCSMGP (new)

The data used for the experiments was provvided by ChAI and thus not publicly available.

About

Applying Gaussian Processes to Commodity Prices

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors