Tuesday, Sep 10, 17.30:
Introduction to (Latent) Gaussian processes

Gaussian processes (GP) has many application in both statistics (for instance spatial modelling, predictive medicine) machine learning (for instance regression, classification).

The focus of the presentation and hands-on will be introducing the basic structure of a GP. The main guiding application will be using in a GP for a nonparametric regression.

The hands-on tutorial will be in either R or Python.


17.30 – Meet & Greet

17.45 – Introduction

18.15 – Hands-on tutorial

18.45 – Break with something lighter to eat

19.15 – Hands-on tutorial

20.00 – The End

Bring your own computer for best experience of this tutorial