bayesloop
stable
  • Installation
  • Tutorials
    • First steps with bayesloop
    • Model Selection
    • Optimization of hyper-parameters
    • Hyper-study
    • Change-point study
    • Online study
    • Prior distributions
    • Custom observation models
    • Probability parser
    • Multiprocessing
  • Examples
  • API Reference
bayesloop
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  • Tutorials
  • Edit on GitHub

TutorialsΒΆ

  • 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
  • Probability parser
  • Multiprocessing
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© Copyright 2016-2017, Christoph Mark. Revision cf9a0a2a.

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