Asymptotic Sufficiency Depth, Volume III: Geometric Universality, Statistical Experiments, and Falsification

This volume develops geometric, analytic, algebraic, and statistical extensions of asymptotic sufficiency depth beyond the finite-state weak-noise setting. It treats flat and iterated-flat localization, recursive boundary profiles, Newton and Mellin asymptotics, invariant-theoretic and selected real-algebraic certificates, finite-complexity bounds, and connections to statistical-experiment comparison, PAC-Bayes and e-process methods, smoothness inference, and operator theory. Diagnostics, exact and numerical certificate classes, counterexamples, withdrawn candidates, proof-path obstructions, and open problems are retained explicitly to define the scope and falsifiability of the theory. Reproducibility software and validation materials are archived separately in Zenodo Software, version 1.0.0, DOI 10.5281/zenodo.22289467.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22287921
Primary Topic
Markov Chains and Monte Carlo Methods
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Asymptotic Sufficiency Depth, Volume III: Geometric Universality, Statistical Experiments, and Falsification

Shigeo Kaneko
Zenodo (CERN European Organization for Nuclear Research)
Markov Chains and Monte Carlo Methods
preprint

Asymptotic Sufficiency Depth, Volume III: Geometric Universality, Statistical Experiments, and Falsification

Shigeo Kaneko
preprint en

Abstract

This volume develops geometric, analytic, algebraic, and statistical extensions of asymptotic sufficiency depth beyond the finite-state weak-noise setting. It treats flat and iterated-flat localization, recursive boundary profiles, Newton and Mellin asymptotics, invariant-theoretic and selected real-algebraic certificates, finite-complexity bounds, and connections to statistical-experiment comparison, PAC-Bayes and e-process methods, smoothness inference, and operator theory. Diagnostics, exact and numerical certificate classes, counterexamples, withdrawn candidates, proof-path obstructions, and open problems are retained explicitly to define the scope and falsifiability of the theory. Reproducibility software and validation materials are archived separately in Zenodo Software, version 1.0.0, DOI 10.5281/zenodo.22289467.

Zenodo (CERN European Organization for Nuclear Research)
Markov Chains and Monte Carlo Methods
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.