Tutorials

The code cells on these pages can be run directly in the browser. Selecting the run button on a cell starts a Python session, and the code may then be modified and executed again.

• First steps with bayesloop
  • Study class
  • Data import
  • Observation model
  • Transition model
  • Model fit
  • Plotting
  • Saving studies
• Model Selection
  • Bayes factors
  • Combined transition models
  • Serial transition model
• Optimization of hyper-parameters
  • Global optimization
  • Conditional optimization in nested transition models
• Hyper-study
• Change-point study
  • Analyzing abrupt changes of parameter values
    • Analysis of a single change-point
    • Exploring possible change-points
    • Analysis of multiple change-points
  • Analyzing structural breaks in time series models
• Online study
• Prior distributions
  • Parameter prior
    • Prior functions and arrays
    • SymPy prior
  • Hyper-parameter priors
• Custom observation models
  • SymPy.stats random variables
  • SciPy.stats probability distributions
  • NumPy likelihood functions
• Multiprocessing