Preprint / scholarly article

JOSNL Corpus: Final Scientific Integration

K. Takahashi

Published
DOI
10.5281/zenodo.17429908

Abstract

The work is designed to satisfy four scientific requirements simultaneously: observability , identifiability under network interference , anytime-valid testing , and reproducibility.

Keywords

  • AI
  • machine learning
  • anytime-valid testing
  • network interference
  • randomization inference
  • spectral bound
  • meta-analysis
  • JOSNL

Identifiers and source records