Demos and utilities for control ROI, VoI, and risk reduction in modern security programs.
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Updated
May 27, 2026 - Python
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.
Reusable decision-science utilities for security: Monte Carlo, Bayes, Survival, VoI, light causal helpers.
A R/Shiny frontend to use BCEA
VoI-aware Scheduling Schemes for Multi-Agent Formation Control
economic analysis: Reproducible Markov cost-effectiveness model- cariprazine vs risperidone for schizophrenia with predominant negative symptoms | Submitted to Value in Health 2026 | under review
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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