Asymptotic Sufficiency Depth, Volume I: Foundations and Finite-State Theory

This volume develops a finite-state theory for quantifying information lost under observation and for locating the first asymptotic scale at which that loss becomes detectable. It develops exact likelihood-ratio sufficiency, weak-noise asymptotic sufficiency depth, support-stratified recursion, boundary contact laws, exact model-to-signature compilation, directional polarization, and hierarchical coarse graining. Counterexamples identify the boundaries of total-variation/KL stability and interior asymptotic laws. Reproducibility software and validation materials are archived separately in Zenodo Software, version 1.0.0, DOI 10.5281/zenodo.22289467.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22287895
Primary Topic
Markov Chains and Monte Carlo Methods
Type
preprint
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preprint

Asymptotic Sufficiency Depth, Volume I: Foundations and Finite-State Theory

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

Asymptotic Sufficiency Depth, Volume I: Foundations and Finite-State Theory

Shigeo Kaneko
preprint en

Abstract

This volume develops a finite-state theory for quantifying information lost under observation and for locating the first asymptotic scale at which that loss becomes detectable. It develops exact likelihood-ratio sufficiency, weak-noise asymptotic sufficiency depth, support-stratified recursion, boundary contact laws, exact model-to-signature compilation, directional polarization, and hierarchical coarse graining. Counterexamples identify the boundaries of total-variation/KL stability and interior asymptotic laws. 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
DOIOpen Access PDFOpenAlex
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