The Fractal Statistics Framework: IFO-Powered Inference Beyond Normality

<p>The IFO framework enables:</p> <p> • Fractal-adaptive inference (DH-aware estimation)</p> <p>• Heavy-tailed robustness (finite moments not required)</p> <p>• Nonlinear dependence detection (beyond Pearson/Spearman)</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-01
DOI
https://doi.org/10.13140/rg.2.2.10661.82408
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Fractal Statistics Framework: IFO-Powered Inference Beyond Normality

Zenodo (CERN European Organization for Nuclear Research)
Agricultural pest management studies
article

The Fractal Statistics Framework: IFO-Powered Inference Beyond Normality

article en

Abstract

<p>The IFO framework enables:</p> <p> • Fractal-adaptive inference (DH-aware estimation)</p> <p>• Heavy-tailed robustness (finite moments not required)</p> <p>• Nonlinear dependence detection (beyond Pearson/Spearman)</p>

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
Agricultural pest management studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Fractal Statistics Framework: IFO-Powered Inference Beyond Normality · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS