math-measure-probability

Community

Rigorous probability with measure theory.

Authorr-irbe
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Formalize and reason about probability spaces, random variables, convergence, and ergodic properties using measure-theoretic foundations to support precise mathematical arguments.

Core Features & Use Cases

  • Foundational coverage of measure theory and probability theory for rigorous mathematical reasoning.
  • Guidance for analyzing stochastic processes, ergodic properties, and concentration inequalities in both theory and applied modelling.
  • Structured reference to the math-measure-probability handbook for deeper exploration.

Quick Start

Load the math-measure-probability handbook from the references directory when convened.

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: math-measure-probability
Download link: https://github.com/r-irbe/proof-skills/archive/main.zip#math-measure-probability

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