variance-decomposition

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Sobol variance decomposition — compute first-order and total-order sensitivity indices to quantify each parameter's contribution to output variance.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: variance-decomposition description: Sobol variance decomposition — compute first-order and total-order sensitivity indices to quantify each parameter's contribution to output variance. dependencies: tactics: - screening-then-decomposition sops: - interaction-detection - sobol-decomposition

Variance Decomposition

Quantify each parameter's contribution to output variance.

Budget

Base SOP Target ±10% Range
web-search 20 18–22
web-research 10 9–11
paper-overview 30 27–33
paper-search 25 22–28
paper-research 15 13–17

State Ledger

<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 20 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 25 | ? |
| paper-research | ? | 15 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>

Available Tactics

  • screening-then-decomposition

Available SOPs

Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: sobol-decomposition, interaction-detection

Execution Guidance

For parameters surviving screening, compute Sobol first-order (Si) and total-order (STi) indices. Si measures direct effect, STi-Si measures interaction contribution. Focus on parameters with high STi.

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic When to use
screening-then-decomposition Two-phase sensitivity — Morris quick screening to eliminate unimportant factors, then Sobol precise decomposition on survivors. Efficient allocation of analytical effort.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
interaction-detection Detect and characterize significant parameter interactions from Sobol decomposition results.
sobol-decomposition Sobol variance decomposition — compute first-order and total-order sensitivity indices for precise variance attribution.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill variance-decomposition
Repository Details
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call_split Forks 25
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article Path SKILL.md
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