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Bayesian Learning

Interactive notebooks for the Bayesian Learning book
Showing 1-30 of 32 listings
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1.
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Bernoulli distribution This notebook is a fork
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Mattias Villani
Sep 4, 2023•1
2.
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Maximum likelihood - Bernoulli data This notebook is a fork
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Mattias Villani
Nov 18, 2023
3.
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Bayes' theorem for events
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Mattias Villani
Jun 9•2
4.
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Bayesian inference for Bernoulli iid data This notebook is a fork
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Mattias Villani
Nov 18, 2023
5.
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Maximum likelihood for iid Poisson data This notebook is a fork
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Mattias Villani
Feb 4
6.
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Bayesian inference for iid Poisson counts This notebook is a fork
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Mattias Villani
Mar 21
7.
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Bayesian inference for Exponential iid data This notebook is a fork
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Mattias Villani
Dec 21, 2023
8.
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Scaled inverse chi2 distribution This notebook is a fork
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Mattias Villani
Sep 4, 2023
9.
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Bayesian inference for multinomial data This notebook is a fork
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Mattias Villani
Oct 7, 2023
10.
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Bayesian inference for Gaussian iid data with known variance This notebook is a fork
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Mattias Villani
Oct 3•1
11.
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Bayesian credible intervals
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Mattias Villani
Feb 3
12.
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Hamiltonian Markov Chain Monte Carlo This notebook is a fork
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Mattias Villani
Jul 25, 2023
13.
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Autoregressive processes - simulation and priors This notebook is a fork
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Mattias Villani
Jun 9
14.
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Multivariate normal distribution
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Mattias Villani
Jan 19
15.
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Bayesian linear regression
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Mattias Villani
Dec 10, 2023
16.
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Central limit theorem This notebook is a fork
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Mattias Villani
May 9
17.
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Law of Large Numbers This notebook is a fork
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Mattias Villani
Nov 18, 2023
18.
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Random Walk Metropolis This notebook is a fork
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Mattias Villani
Aug 7, 2023
19.
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Leapfrog Integrator This notebook is a fork
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Mattias Villani
Jul 25, 2023
20.
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HMC sampling from multi-modal distributions This notebook is a fork
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Mattias Villani
Jul 26, 2023
21.
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Posterior approximation - Beta model for proportions
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Mattias Villani
Nov 19, 2023
22.
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Distributions on the unit simplex This notebook is a fork
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Mattias Villani
Dec 31, 2023•1
23.
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Maximum likelihood - Poisson regression This notebook is a fork
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Mattias Villani
Feb 4
24.
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Second derivative measures the curvature of a function This notebook is a fork
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Mattias Villani
Aug 19, 2023
25.
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Bayesian inference for Gaussian iid data This notebook is a fork
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Mattias Villani
Apr 25
26.
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Kullback-Leibler divergence - continuous distributions This notebook is a fork
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Mattias Villani
May 29
27.
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Confidence interval for a proportion This notebook is a fork
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Mattias Villani
May 28
28.
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Coverage of interval estimates for a proportion This notebook is a fork
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Mattias Villani
May 28
29.
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Approximating the Binomial distribution This notebook is a fork
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Mattias Villani
Mar 1
30.
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Sampling distribution and likelihood function - Normal model This notebook is a fork
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Mattias Villani
Jul 27
Showing 1-30 of 32 listings
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