API Reference

• sbijax
  • Data pipeline
    • simulate()
    • stack()
  • Posterior estimation
    • npe()
    • fmpe()
    • npse()
  • Likelihood estimation
    • nle()
    • snle()
  • Likelihood-ratio estimation
    • nre()
  • Approximate Bayesian computation
    • sabc()
    • smcabc()
  • Summary statistics
    • nass()
    • nasss()
    • summarized_estimator()
  • Training and sampling
    • train()
    • sample()
  • Sequential inference
    • run_sequential()
  • Diagnostics
    • sbc()
• sbijax.experimental
  • cmpe()
  • aio()
  • make_truncated_proposal()
  • make_simformer_based_score_model()
  • make_score_model()
  • ScoreModel
    • ScoreModel.__call__()
• sbijax.mcmc
  • make_sampler()
  • sample_with_imh()
  • sample_with_mala()
  • sample_with_nuts()
  • sample_with_rmh()
  • sample_with_slice()
  • imh
  • mala
  • nuts
  • rmh
• sbijax.nn
  • Density estimators
    • make_mdn()
    • make_maf()
    • make_spf()
    • make_cnf()
  • Classifier networks
    • make_mlp()
    • make_resnet()
  • Consistency models
    • make_cm()
  • Summary statistics networks
    • make_nass_net()
    • make_nasss_net()
• sbijax.simulators
  • hyperboloid()
  • mixture_model_with_distractors()
  • sir()
  • slcp()
  • solar_dynamo()
  • tree()
  • two_moons()
• sbijax.util
  • stack_data()