bayesloop
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First steps with bayesloop
Study class
Data import
Observation model
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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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