Monographs, Metrological Benchmarks & Interactive Engine Demos — Beta 0.8
Live client-side benchmark race comparing BIDSim against MCMC samplers. Runs 100,000 or 300,000 scenario draws in real time with side-by-side timers and speedup metrics.
Configure candidate counts and scenario sizes to execute discretized Bayesian induction live in your browser.
An Introductory Synthesis of BID Glass-Box Bayesian Inference, Maximum Entropy Priors, scalability and Operational Decision Theory
Principle, Metrological Sensitivity Analysis and Popu Parameter Calibration
Scaling BID2 Inference via Marginal Decomposition, Barycentric Simplex Geometry, TCOB Knowledge Matrices, Focalisation-Fusion Algebra, SICP Structures, and the EvalCout Algorithm
A Novel High Performance Sampling algorithm in High-Dimensional Multinomial Inference challenging MCMC.
Escaping P-values, Reconciling Statistical Rigor, Economic Rationality, and Real-Time Patient Safety without Stochastic Black Boxes
BID : A New Algorithmic Framework for High-Dimensional Political Opinion Analysis, Causal Sample Weighting, and Real-Time Electoral Scenario Simulations
BID’s Epistemological Rupture with Frequentists Dogmas and Continuous Models
Comparative speed, Effective Sample Size (ESS), and autocorrelation performance against vectorised Cholesky decomposition samplers.
Analysis of tail-probability distortions, boundary collapses, and accuracy comparisons against Gaussian Laplace-Softmax transformations.
Evaluation of Small Data breakdown points, covariance matrix singularity failures, and discrete stability under LIIS.
Comparative evaluation against ADVI / Variational Inference focusing on variance suppression and ELBO convergence plateaus.