---
name: "Active Inference Power Suite: Conditional Statistical Power under Controlled Generative Settings"
description: "Statistical power is an investigator-facing operating characteristic of an adaptive-study design. Before simulation, the investigator fixes an agent-side model, evaluator-side process, testing setting, policy, and replication plan. Each embedded agen..."
tags: ["multiple-testing", "false-discovery-rate", "benjamini-hochberg", "statistical-power", "active-inference", "pymdp", "sequential-hypothesis-testing", "reproducible-research"]
domain: "Active Inference"
citation: "Daniel Ari Friedman (2026). *Active Inference Power Suite: Conditional Statistical Power under Controlled Generative Settings*. Active Inference."
doi: "10.5281/zenodo.21695160"
---

# Active Inference Power Suite: Conditional Statistical Power under Controlled Generative Settings

**Daniel Ari Friedman** (2026) · Active Inference

## Context

This work addresses topics in **Active Inference**: multiple testing, false discovery rate, Benjamini-Hochberg, statistical power.

## Methods

Primary methods and techniques applied in this work:

- Free energy minimization
- Generative modeling
- Bayesian inference

## Key Findings

Core contributions and results:

- See full paper for detailed findings and analysis

## Related Works

See [BIBLIOGRAPHY.md](../../pages/BIBLIOGRAPHY.md) for related publications.

## Validation

Verification points for this work:

- DOI: 10.5281/zenodo.21695160
- PDF SHA-256: See zenodo_record
- Pairing confidence: unknown
- Last checked: 2026-07-30T17:45:27Z

## Prerequisites

- Familiarity with multiple testing, false discovery rate, Benjamini-Hochberg
- Background in Active Inference fundamentals
- Access to source repository: N/A

## Instructions

When working with this paper:

1. Reference the DOI for citation: `10.5281/zenodo.21695160`
2. Apply methods listed in the Methods section for related analysis.
3. Validate findings against the original PDF and metadata.