theory-simulationlisted
Install: claude install-skill gyf9712/stat-theory-skills
# Theory-Simulation — Bridge Theory and Monte Carlo for Statistics Papers
> 🔬 **Model Recommendation**: Run this skill on **Claude Opus** for best results.
> Designing rate-verifying experiments and reconciling theory with empirical results
> requires deep reasoning. If your session is not on Opus, run `/model opus`.
Bridges theoretical results and simulation experiments, two-way:
```
Theory ←————— stress tests, rate slopes ——————→ Simulation
←————— sharper bounds, weakened —————→
assumptions discovered from sim
```
Built to **top statistics journal standards**: clearly stated DGPs, multiple sample
sizes, Monte Carlo replications, rate verification via log-log slopes, stress tests
on every assumption, finite-sample vs asymptotic comparisons, and publication-grade
figures conforming to AoS / JASA / Biometrika / JRSS-B style.
## Context: $ARGUMENTS
---
## Pipeline Position
```
/proofcheck → /proof-repair → /theory-sharpen → /theory-simulation → /proof-writer
Correct? Fix issues Strengthen theory Verify + stress Write proofs
(this skill)
```
This skill can also run standalone if user has theorems and wants Monte Carlo
verification without a full pipeline.
---
## Core Philosophy
A theoretical result is taken seriously by reviewers when simulation:
1. **Confirms** the predicted rate/coverage/bias under stated assumptions
2. **Breaks** in the predicted way when assump