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Mattias Villani
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Bayesian Learning
Interactive notebooks for the Bayesian Learning book
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1.
Bernoulli distribution
This notebook is a fork
Mattias Villani
Sep 4, 2023
•
1
2.
Maximum likelihood - Bernoulli data
This notebook is a fork
Mattias Villani
Nov 18, 2023
3.
Bayes' theorem for events
Mattias Villani
Jun 9, 2024
•
2
4.
Bayesian inference for Bernoulli iid data
This notebook is a fork
Mattias Villani
Nov 18, 2023
5.
Bayesian inference for Gaussian iid data with known variance
This notebook is a fork
Mattias Villani
Feb 10
•
1
6.
Maximum likelihood for iid Poisson data
This notebook is a fork
Mattias Villani
Feb 4, 2024
7.
Bayesian inference for iid Poisson counts
This notebook is a fork
Mattias Villani
Feb 10
8.
Bayesian inference for Exponential iid data
This notebook is a fork
Mattias Villani
Dec 21, 2023
9.
Bayesian credible intervals
Mattias Villani
Feb 3, 2024
10.
Scaled inverse chi2 distribution
This notebook is a fork
Mattias Villani
Sep 4, 2023
11.
Bayesian inference for Gaussian iid data
This notebook is a fork
Mattias Villani
Apr 25, 2024
12.
Bayesian inference for multinomial data
This notebook is a fork
Mattias Villani
Oct 7, 2023
13.
Autoregressive processes - simulation and priors
This notebook is a fork
Mattias Villani
Feb 9
14.
Prior predictive - iid Poisson model with Gamma prior
This notebook is a fork
Mattias Villani
Feb 9
15.
Multivariate normal distribution
Mattias Villani
Apr 16
16.
Bayesian linear regression
Mattias Villani
Dec 10, 2023
17.
Central limit theorem
This notebook is a fork
Mattias Villani
Apr 12
18.
Law of Large Numbers
This notebook is a fork
Mattias Villani
Mar 11
19.
The Taylor approximation
This notebook is a fork
Mattias Villani
Mar 12
20.
Second derivative measures the curvature of a function
This notebook is a fork
Mattias Villani
Aug 19, 2023
21.
Random Walk Metropolis
This notebook is a fork
Mattias Villani
Feb 13
22.
Hamiltonian Markov Chain Monte Carlo
This notebook is a fork
Mattias Villani
Jul 25, 2023
•
1
23.
Leapfrog Integrator
This notebook is a fork
Mattias Villani
Jul 25, 2023
24.
HMC sampling from multi-modal distributions
This notebook is a fork
Mattias Villani
Jul 26, 2023
25.
Posterior approximation - Beta model for proportions
Mattias Villani
Nov 19, 2023
26.
Dirichlet Distribution
This notebook is a fork
Mattias Villani
Oct 6, 2023
27.
Distributions on the unit simplex
This notebook is a fork
Mattias Villani
Dec 31, 2023
•
1
28.
Maximum likelihood - Poisson regression
This notebook is a fork
Mattias Villani
May 18
29.
Kullback-Leibler divergence - continuous distributions
This notebook is a fork
Mattias Villani
May 29, 2024
30.
Confidence interval for a proportion
This notebook is a fork
Mattias Villani
Jan 18
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