# Basic examples

This section contains a set of examples for Bayesian Inference with `RxInfer`

package in various probabilistic models.

All examples have been pre-generated automatically from the `examples/`

folder at GitHub repository.

Basic examples contain "Hello World!" of Bayesian inference in RxInfer.

- Coin toss model (Beta-Bernoulli): An example of Bayesian inference in Beta-Bernoulli model with IID observations.
- Bayesian Linear Regression Tutorial: An extensive tutorial on Bayesian linear regression with RxInfer with a lot of examples, including multivariate and hierarchical linear regression.
- Kalman filtering and smoothing: In this demo, we are interested in Bayesian state estimation in different types of State-Space Models, including linear, nonlinear, and cases with missing observations
- Predicting Bike Rental Demand: An illustrative guide to implementing prediction mechanisms within RxInfer.jl, using bike rental demand forecasting as a contextual example.
- How to train your Hidden Markov Model: An example of structured variational Bayesian inference in Hidden Markov Model with unknown transition and observational matrices.