distributions

This reference provides a comprehensive catalog of probability distributions available in PyMC, organized by category. Use this to select appropriate distributions for priors and likelihoods when building Bayesian models.

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/distributions && curl -fsSL https://doutorai.pt/data/lib/skills__distributions.md -o .claude/skills/distributions/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# PyMC Distributions Reference

This reference provides a comprehensive catalog of probability distributions available in PyMC, organized by category. Use this to select appropriate distributions for priors and likelihoods when building Bayesian models.

## Continuous Distributions

Continuous distributions define probability densities over real-valued domains.

### Common Continuous Distributions

**`pm.Normal(name, mu, sigma)`**
- Normal (Gaussian) distribution
- Parameters: `mu` (mean), `sigma` (standard deviation)
- Support: (-∞, ∞)
- Common uses: Default prior for unbounded parameters, li

- 🔒 Full content on the Pro plan (€7.99/month) -

Need help with Claude Code?

Ask Dr AI - it explains things simply.

Need a tailor-made solution?

Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.

Save hours every week with AI, no hassle

Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.

See plans