Documentation

This section introduces and explains the main concepts used in CassioPy. It provides the theoretical foundations needed to understand the algorithms and methods integrated into the library.

Contents:

• 1. Mixture
  • 1.1. Skew-t Mixture Models
  • 1.2. Skew-t Uniform Mixture Models
  • 1.3. Bayesian Information Criterion (BIC)
  • 1.4. Adjusted Rand Index (ARI)
• 2. Statistic
  • 2.1. Skew-t distribution
  • 2.2. Probability density function