scientific-bayesian-statistics

Name: scientific-bayesian-statistics
Availability: InStock
Author: nahisaho

Community

Master Bayesian inference with PyMC, Stan, and ArviZ.

Data & Analytics #bayesian #arviz #stan #posterior-analysis #pymc #probabilistic-programming #hierarchical-models

Authornahisaho

Version1.0.0

Installs0

System Documentation

What problem does it solve?

Automates Bayesian inference workflows for probabilistic modeling.

Core Features & Use Cases

End-to-end Bayesian workflow guidance (model specification, priors, sampling, diagnostics, PPC, and model comparison)
Hierarchical/multilevel modeling support with partial pooling
Practical examples and runnable code in PyMC/Stan with ArviZ visualizations

Quick Start

Fit a Bayesian linear regression in PyMC and review the posterior summaries to interpret parameter estimates.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: scientific-bayesian-statistics
Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-bayesian-statistics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.

View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.