Filter
None
Sort
Last updated
Bayesian Learning | Mattias Villani | Observable
Bayesian Learning | Mattias Villani | Observable
Observable
Mattias Villani
@mattiasvillani
Professor of Statistics at Stockholm University
165
12
Bayesian Learning
Public
Interactive notebooks for the Bayesian Learning book
Filter
None
Sort
Published
Sign in
Bayesian hypothesis test for a mean in a normal population
Fork
Public
Mattias Villani
Oct 27, 2025
Sampling distribution and likelihood function - Normal model
Fork
Public
Mattias Villani
Jul 28, 2024
Sampling distribution and likelihood function - Bernoulli model
Fork
Public
Mattias Villani
Aug 16, 2024
Prior predictive - iid Poisson model with Gamma prior
Fork
Public
Mattias Villani
Oct 16, 2025
Kullback-Leibler divergence - continuous distributions
Fork
Public
Mattias Villani
May 12
1
Leapfrog Integrator
Fork
Public
Mattias Villani
Jul 25, 2023
Bernoulli distribution
Fork
Public
Mattias Villani
Sep 4, 2023
1
Distributions on the unit simplex
Fork
Public
Mattias Villani
Aug 22
1
Scaled inverse chi2 distribution
Fork
Public
Mattias Villani
Sep 4, 2023
Bayesian inference for Gaussian iid data
Fork
Public
Mattias Villani
Apr 26, 2024
Confidence interval for a proportion
Fork
Public
Mattias Villani
Jan 18, 2025
Approximating the Binomial distribution
Fork
Public
Mattias Villani
May 26, 2024
Random Walk Metropolis
Fork
Public
Mattias Villani
Feb 13, 2025
Bayesian inference for Gaussian iid data with known variance
Fork
Public
Mattias Villani
Feb 10, 2025
1
Bayes' theorem for events
Public
Mattias Villani
Jun 9, 2024
2
Bayesian inference for multinomial data
Fork
Public
Mattias Villani
Nov 18, 2023
HMC sampling from multi-modal distributions
Fork
Public
Mattias Villani
Jul 26, 2023
Distribution of the maximum - a tale of tails
Fork
Public
Mattias Villani
Feb 11, 2025
1
Maximum likelihood for iid Poisson data
Fork
Public
Mattias Villani
Apr 15, 2025
Bayesian inference for Exponential iid data
Fork
Public
Mattias Villani
Aug 7
Bayesian inference for Bernoulli iid data
Fork
Public
Mattias Villani
Feb 10, 2025
Dirichlet Distribution
Fork
Public
Mattias Villani
Oct 6, 2023
Second derivative measures the curvature of a function
Fork
Public
Mattias Villani
Mar 15, 2025
Bayesian linear regression
Public
Mattias Villani
Dec 10, 2023
Bayesian inference for iid Poisson counts
Fork
Public
Mattias Villani
Feb 10, 2025
Hamiltonian Markov Chain Monte Carlo
Fork
Public
Mattias Villani
Jul 25, 2023
1
Coverage of interval estimates for a proportion
Fork
Public
Mattias Villani
Sep 3
Maximum likelihood - Poisson regression
Fork
Public
Mattias Villani
May 18, 2025
Bayesian credible intervals
Public
Mattias Villani
Sep 11, 2025
Law of Large Numbers
Fork
Public
Mattias Villani
Mar 11, 2025
Multivariate normal distribution
Public
Mattias Villani
Apr 16, 2025
Autoregressive processes - simulation and priors
Fork
Public
Mattias Villani
Feb 9, 2025
Central limit theorem
Fork
Public
Mattias Villani
Apr 12, 2025
Maximum likelihood - Bernoulli data
Fork
Public
Mattias Villani
Feb 20, 2025
Posterior approximation - Beta model for proportions
Public
Mattias Villani
Feb 11, 2025
The Taylor approximation
Fork
Public
Mattias Villani
Sep 20, 2025
