Bayesian Belief Networks: Probability Estimates for Three Hypotheses
TLDR Bayesian Belief Networks translated three qualitative ACH matrices into formal probability estimates: Spoliation P=0.90, Willful Blindness P=0.77, and...
9 investigations
TLDR Bayesian Belief Networks translated three qualitative ACH matrices into formal probability estimates: Spoliation P=0.90, Willful Blindness P=0.77, and...
TLDR A finite state machine manages 53 deduplicated leads drawn from three sources: 20 from cross-domain synthesis, 33 from anomaly-driven convergence, and 2...
TLDR The synthesis engine generates three tiers of narrative product -- executive summary, evidentiary chronology, and methodology disclosure -- totaling...
TLDR The institutional forensics script's accountability matrix assigns risk-adjusted complicity tiers to every entity in the Epstein network using but-for...
TLDR The ownership graph built by the institutional forensics script contains exactly 33 static edges (fixed connections) representing verified corporate...
TLDR The institutional forensics script classifies institutional compliance failures into seven distinct linguistic marker categories using full-text search...
TLDR Evidence chains formalized using Wigmore and Toulmin notation — a formal method for mapping chains of evidence, showing how each piece of proof connects...
TLDR The institutional forensics script's Granger causality module — which applies a statistical test that checks whether one type of event reliably happens...
TLDR The cross-domain synthesis script generates three Analysis of Competing Hypotheses (ACH) tables — structured comparison tables that pit competing...