https://github.com/maxvfischer/tdde07
TDDE07 - Bayesian Learning, Linköping university
https://github.com/maxvfischer/tdde07
Last synced: 3 months ago
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TDDE07 - Bayesian Learning, Linköping university
- Host: GitHub
- URL: https://github.com/maxvfischer/tdde07
- Owner: maxvfischer
- Created: 2018-03-28T11:23:05.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-11-23T19:45:11.000Z (over 7 years ago)
- Last Synced: 2025-03-11T20:54:29.266Z (over 1 year ago)
- Language: HTML
- Homepage:
- Size: 25.8 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TDDE07
TDDE07 - Bayesian Learning | Linköpings university
## Lab 1 contains
* Bernoulli distributions: Draw numbers and compute posterior distribution from simulation
* Log-normal distribution
* Gini coefficient
* Credible interval
* Highest Posterior Density
## Lab 2 contains
* Bayesian analysis of polynomial regression
* Conjugate priors
* Simulations from joint posterior distribution
* Estimation of polynomial model of higher degree
* Posterior approximation for classification with logistic regression
## Lab 3 contains
* Mixture of normal model with semi-conjugate prior
* Gibbs sampling
* Autoregressive models
* Markov chain Monte Carlo
## Lab 4 contains
* Markov chain Monte Carlo
* Metropolis algorithm