pymc-bayesian-modeling

SKILLWorkflowCommunity
v0.0.0jaechang-hitsNOASSERTIONAktualisiert vor 5 TQuelle →

Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.

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vor 5 TLetzte Aktualisierung
Skill
Autorjaechang-hits
Version0.0.0
LizenzNOASSERTION
KategorieWorkflow
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Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.

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