bio-applied-bayesian-statistics-python

SKILLFlusso di lavorocommunity
v0.0.0Pavel-KravchenkoUnknownAggiornato 1 mesi faFonte →

Fit Bayesian models with PyMC/Bambi/ArviZ: NUTS sampling, prior/posterior checks, HDI intervals, hierarchical GLMMs, LOO/WAIC comparison. Use when doing Bayesian inference, hierarchical modeling, or MCMC diagnostics.

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
4Stelle del repo
1Client
1Formati
1 mesi faUltimo aggiornamento
Skill
AutorePavel-Kravchenko
Versione0.0.0
LicenzaUnknown
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

Fit Bayesian models with PyMC/Bambi/ArviZ: NUTS sampling, prior/posterior checks, HDI intervals, hierarchical GLMMs, LOO/WAIC comparison. Use when doing Bayesian inference, hierarchical modeling, or MCMC diagnostics.

Parole chiave
skillclaude