BCT |
Bayesian Context Trees (BCT) algorithm |

calculate_exact_changepoint_posterior |
Calculates the exact posterior for a sequence with a single change-point. |

compute_counts |
Compute empirical frequencies of all contexts |

CTW |
Context Tree Weighting (CTW) algorithm |

draw_models |
Plot the results of the BCT and kBCT functions |

el_nino |
El Nino |

enterophage |
Enterobacteria_phage_lambda |

generate_data |
Sequence generator |

gene_s |
SARS-CoV-2 gene S |

infer_fixed_changepoints |
Inferring the change-points locations when the number of change-points is fixed. |

infer_unknown_changepoints |
Inferring the number of change-points and their locations. |

kBCT |
k-Bayesian Context Trees (kBCT) algorithm |

log_loss |
Calculating the log-loss incurred in prediction |

MAP_parameters |
Parameters of the MAP model |

ML |
Maximum Likelihood |

pewee |
Pewee birdsong |

plot_changepoint_posterior |
Plot the empirical posterior distribution of the change-points. |

plot_individual_changepoint_posterior |
Plot empirical conditional posterior of the number of change-points. |

prediction |
Prediction |

sars_cov_2 |
SARS-CoV-2 genome |

show_tree |
Plot tree with given contexts |

simian_40 |
simian_40 |

SP500 |
Daily changes in the S&P 500 index |

three_changes |
three_changes |

zero_one_loss |
Calculating the 0-1 loss incurred in prediction |