# Appendix — PythonRobotics documentation

# Appendix

Contents

- KF Basics - Part I
  - Introduction
  - Variance, Covariance and Correlation
  - Gaussians
  - Gaussian Properties
  - References:
- KF Basics - Part 2
  - Probabilistic Generative Laws
  - Conditional dependence and independence example:
  - Bayes Rule:
  - Bayes Filter Algorithm
  - Bayes filter localization example:
  - Bayes and Kalman filter structure
  - Kalman Gain
  - Kalman Filter - Univariate and Multivariate
  - References: