bio-applied-bayesian-statistics-python

SKILLFlujo de trabajocomunidad
v0.0.0Pavel-KravchenkoUnknownActualizado hace 1 mFuente →

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 →
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hace 1 mÚltima actualización
Skill
AutorPavel-Kravchenko
Versión0.0.0
LicenciaUnknown
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
Compatibilidad
Claude✓ Compatible
Cursor
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Gemini
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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.

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