Proves Poisson-Dirichlet edge statistics for full Gibbs ensembles on random lattices and quenched thermal concentration with visibility curve c=γ^{-2} for primitive directions.
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vsOED uses a variational one-point reward and RL policy optimization to provide a lower bound on expected information gain for sequential experimental design, supporting nuisance parameters, implicit likelihoods, and multiple design goals.
Compositional periodic splines in Bayes spaces enable approximation of circular density data via centered log-ratio transformation and matrix-based penalized estimation, shown on wind direction records.
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Thermal Concentration and Poisson--Dirichlet Edge Statistics for Random--Lattice Gibbs Ensembles
Proves Poisson-Dirichlet edge statistics for full Gibbs ensembles on random lattices and quenched thermal concentration with visibility curve c=γ^{-2} for primitive directions.
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Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
Compositional periodic splines in Bayes spaces enable approximation of circular density data via centered log-ratio transformation and matrix-based penalized estimation, shown on wind direction records.