Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

README.md

Machine Learning Models and Methods for Econometricians

by Mattias Villani, Division of Statistics and Machine Learning, Linköping University


09.00-09.15 Coffee/Tea

09.15-10.00 Gaussian Process Regression

Reading:

Software:

Code snippets:

  • R code for simulating from a GP.

Extras:


10.00-10.15 Break

10.15-11.00 Gaussian Process Classification and Optimization

Reading:

Software:

11.00-11.15 Coffee/Tea break

11.15-12.00 Distributed and Subsampling MCMC

Reading:


12.00-13.15 Lunch

13.15-14.00 Text as data - Topic Models

Reading:

Software:


14.00-14.15 Break

14.15-15.00 Variational Bayes

Reading:

Software:

Edward for variational inference - a probabilistic programming language (think Stan)


15.00-15.15 Coffee/Tea break

15.15-16.00 Deep Learning

Reading:

Software:

Code for analyzing the Bank Marketing Data from the UCI repository:


About

Material for my one-day tutorial at ESOBE2017

Topics

Resources

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.