Bayesian Experimental Design via Projection-based Approximation of the Conditional Expectation (PACE)
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Updated
Jul 8, 2026 - Python
Bayesian Experimental Design via Projection-based Approximation of the Conditional Expectation (PACE)
A lightweight Python library for turning stochastic-process mathematics, time-series methods, and state-space models into executable, validated, and testable objects
Operator Doublets, Erased History Fibres, and the No-Sequential-Re-entry Theorem — fermionic-matter no-go note
Projection as Conditional Expectation and the Capacity Ceiling (Cosmochrony non-injective foundations)
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