chapter 11
Bayes and uncertainty quantification
Here are the code examples for Chapter 11.
Bayesian estimation
- Example 11.5 Bayesian inference for binomial random variable (influence of priors).
- Example 11.7 Bayesian inference for binomial random variable with beta conjugate priors.
- Example 11.8 Bayesian inference for epidemics.
Bayesian regression
- Example 11.10 Bayesian inference with Gaussian products.
- Example 11.12 Bayesian inference of a mean for air quality data.
- Example 11.13 Bayesian inference for a multivariate Gaussian (linear regression).
- Example 11.14 Bayesian inference for parameters of a noisy pendulum.
- Example 11.15 Bayesian regression and model reduction for diabetes data.
- Example 11.17 Gaussian process regression for a sine function.
Bayesian filters
- Example 11.18 Bayesian sequential regression for a multivariate Gaussian.
- Example 11.19 Bayesian sequential estimation of 2d coordinates.
Bayesian inverse problems
- Example 11.21 Bayesian inversion for 1d heat equation.
Bayesian optimization
- Example 11.22 Bayesian optimization of a 1d function.
probabilistic programming
- Example 11.23 Bayesian inference of a proportion.
- Example 11.24 Bayesian linear regression.
- Example 11.25 Bayesian inverse problems for ordinary differential equations.