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A small research program on finite-response kernels, takeoff kernels, and the finite shape of mediated response across physical, recursive, and inverse systems.
A geometric theory-and-experiments repo showing how deployment risk under covariate drift is governed by the interaction between data motion and model tangent sensitivity.
A research-driven analysis of dynamic ticket pricing, modeling distributions with scaled Beta estimates derived from limited statistics (min, max, mean, median). The approach enriches Random Forest…
Reproducible experiments and papers for a geometric-residual/statistical-learning framing of the galaxy missing-mass problem, including SPARC rotation-curve residual diagnostics and masked dictiona…
Python
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