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 |