Demos and utilities for control ROI, VoI, and risk reduction in modern security programs.
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Updated
Apr 13, 2026 - TypeScript
Demos and utilities for control ROI, VoI, and risk reduction in modern security programs.
A suite of functions for the calculation and presentation of the Expected Value of Sample Information.
A R/Shiny frontend to use BCEA
Reusable decision-science utilities for security: Monte Carlo, Bayes, Survival, VoI, light causal helpers.
VoI-aware Scheduling Schemes for Multi-Agent Formation Control
Free notebooks & app for Monte Carlo, Causal, Bayes, Survival Analysis and turning security data into decisions.
Framework for building and evaluating explanatory accounts of evidence using Bayesian network inference. Includes interactive Shiny app.
Review of decision supporting holistic modeling methods
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