---
title: "PyMC Bayesian Modeling - Air Market"
description: "You have a question where the honest answer is a range rather than a single number, and your data has structure - groups within groups. PyMC lets you write that model down and get a distribution back…"
canonical: "https://airmarket.ai/app/pymc"
---

[Air Market](/) / [Data & Analytics](/category/data) / PyMC Bayesian Modeling

Skill by [K-Dense](/@k-dense-ai)

# PyMC Bayesian Modeling

Model what you are uncertain about, not just the average

## What this does

You have a question where the honest answer is a range rather than a single number, and your data has structure - groups within groups. PyMC lets you write that model down and get a distribution back. It samples, or approximates when sampling is too slow, and helps you compare models and check whether they actually fit.

### Top 3 things it does for you

- Build a model with grouped or nested structure
- Sample the posterior with MCMC
- Fit faster with variational inference

## Information

**PyMC Bayesian Modeling at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [K-Dense](/@k-dense-ai) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.3 |
| Size | 99 KB |
| Licence | MIT |
| Repository | [k-dense-ai/scientific-agent-skills](https://github.com/k-dense-ai/scientific-agent-skills/tree/0e451065e3308e9902d8229e17d2028359b2bbaf/skills/pymc) |
| GitHub stars | 34,239 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of PyMC Bayesian Modeling and flagged nothing. AIR's verdict: **safe**.

**What PyMC Bayesian Modeling's check was run against**

|  |  |
| --- | --- |
| Commit | 0e451065e3308e9902d8229e17d2028359b2bbaf |
| Content hash | 71afd0dfafe535c3530d29879e18821e3ceb2c9c331a326255ae8a2810e047cc |
| Files read | [Browse the files at this exact commit](https://github.com/k-dense-ai/scientific-agent-skills/blob/0e451065e3308e9902d8229e17d2028359b2bbaf/skills/pymc/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for PyMC Bayesian Modeling](/security/pymc)

## About PyMC Bayesian Modeling

Bayesian modeling with PyMC, from writing the model through to checking it.

It covers hierarchical models, MCMC sampling with NUTS, and variational inference when you want a different route to the posterior.

Model comparison uses LOO and WAIC, and posterior checks let you see whether the fit holds up. The setting is probabilistic programming and inference generally.

## What's inside

- SKILL.md - instructions
- assets/hierarchical_model_template.py - script
- assets/linear_regression_template.py - script
- references/distributions.md - reference
- references/model_patterns.md - reference
- references/sampling_inference.md - reference
- references/standard_workflow.md - reference
- references/workflows.md - reference
- scripts/model_comparison.py - script
- scripts/model_diagnostics.py - script

## Questions

### Is PyMC Bayesian Modeling safe to install?

AIR scanned this exact version of PyMC Bayesian Modeling and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 0e451065e330, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/pymc.

### How do I install PyMC Bayesian Modeling?

Open https://airmarket.ai/app/pymc on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/k-dense-ai/scientific-agent-skills/tree/0e451065e3308e9902d8229e17d2028359b2bbaf/skills/pymc. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by K-Dense](/@k-dense-ai)

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Canonical URL: <https://airmarket.ai/app/pymc>