Develops a CLT framework for locally dependent scores on marked Euclidean point processes via geometric mixing and bounded-Lipschitz localization, with applications to spin systems and interacting particles.
Estimating the hyperuniformity exponent of point processes
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
math.PR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces p-uniformity for fluctuation scaling and proves its preservation under transport, enabling new isotropic p-uniform point processes with high p that simulate in linear time.
citing papers explorer
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Limit theory for Lipschitz-localized statistics in random geometric models
Develops a CLT framework for locally dependent scores on marked Euclidean point processes via geometric mixing and bounded-Lipschitz localization, with applications to spin systems and interacting particles.
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Persistence of asymptotic variance under transport: from hyperfluctuation to stealthy hyperuniformity
Introduces p-uniformity for fluctuation scaling and proves its preservation under transport, enabling new isotropic p-uniform point processes with high p that simulate in linear time.