Establishes measure-theoretic foundations for NML in regular non-smooth models and introduces the PDL-PPMH geometric MCMC sampler to compute stochastic complexity exactly.
Strongly regular generalized equations
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The authors derive a computable lower bound on the continuous second variation from discrete KKT points and residuals, providing a sufficient certificate for second-order sufficiency when the bound is positive.
citing papers explorer
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The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling
Establishes measure-theoretic foundations for NML in regular non-smooth models and introduces the PDL-PPMH geometric MCMC sampler to compute stochastic complexity exactly.
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A Posteriori Second-Order Guarantees for Bolza Problems via Collocation
The authors derive a computable lower bound on the continuous second variation from discrete KKT points and residuals, providing a sufficient certificate for second-order sufficiency when the bound is positive.