Mattias VillaniBayesian Learning

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Bayesian Learning

Interactive notebooks for the Bayesian Learning book

Showing all 25 listings

1.

Bernoulli distribution

Mattias Villani

Sep 4, 2023• 1

2.

Maximum likelihood - Bernoulli data

Mattias Villani

Nov 18, 2023

3.

Bayesian inference for Bernoulli iid data

Mattias Villani

Nov 18, 2023

4.

Maximum likelihood for iid Poisson data

Mattias Villani

Feb 4

5.

Bayesian inference for iid Poisson counts

Mattias Villani

Mar 21

6.

Bayesian inference for Exponential iid data

Mattias Villani

Dec 21

7.

Scaled inverse chi2 distribution

Mattias Villani

Sep 4, 2023

8.

Bayesian inference for multinomial data

Mattias Villani

Oct 7, 2023

9.

Bayesian inference for Gaussian iid data with known variance

Mattias Villani

Nov 18, 2023• 1

10.

Bayesian credible intervals

Mattias Villani

Feb 3

11.

Hamiltonian Markov Chain Monte Carlo

Mattias Villani

Jul 25, 2023

12.

Autoregressive processes - simulation and priors

Mattias Villani

Jan 3

13.

Multivariate normal distribution

Mattias Villani

Jan 19

14.

Bayesian linear regression

Mattias Villani

Dec 10

15.

Central limit theorem

Mattias Villani

May 9

16.

Law of Large Numbers

Mattias Villani

Nov 18, 2023

17.

Bayes' theorem for events

Mattias Villani

Mar 19, 2023• 2

18.

Random Walk Metropolis

Mattias Villani

Aug 7, 2023

19.

Leapfrog Integrator

Mattias Villani

Jul 25, 2023

20.

HMC sampling from multi-modal distributions

Mattias Villani

Jul 26, 2023

21.

Posterior approximation - Beta model for proportions

Mattias Villani

Nov 19, 2023

22.

Distributions on the unit simplex

Mattias Villani

Dec 31• 1

23.

Maximum likelihood - Poisson regression

Mattias Villani

Feb 4

24.

Second derivative measures the curvature of a function

Mattias Villani

Aug 19, 2023

25.

Bayesian inference for Gaussian iid data

Mattias Villani

Apr 25