Latent Variable Models

For ecology and biology

You will find here the material I use for my Latent Variables Models for ecology and biology Class in Master 2 Mathématiques pour les Sciences du Vivant of University Paris Saclay.

Slides of the course

• Chap 1 : Introduction

• Chap 2 : mixture models

• ZI-Poisson TP: Data and instructions

• Chap 3 : Hidden Markov Models

• Chap 4 : Stochastic Block Models . This class will be completed by a tutorial on R.

• Chap5 : A gentle introduction to Variational probabilistic Autoencoder

• Chap 6 : Bayesien inference of Latent variable models.

  • Slides are here .
  • Some R code examples are given here.
    
  • In particular, we will study the difference between Variational inference and MCMC on the Poisson Mixture model. The codes are here.

Practical organization

In 2024, the class will take place at AgroParisTech, 22 place de l’Agronomie, Palaiseau in room Pal-C2.2.47, on wednesdays from 14:00 to 17:00

• 17/01/2024
• 24/01/2024
• 07/02/2024
• 14/02/2024
• 28/02/2024
• 06/03/2024

Evaluation

The evaluation consists in a 3 hours exam the 20th of March 2024. Exam of 2024