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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math.PR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Derives Wasserstein bounds on normal approximation for sums of local scores in marked point processes with dependent marks via geometric weak mixing conditions.
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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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Quantitative CLTs for Geometric Statistics of Dependent Marked Point Processes
Derives Wasserstein bounds on normal approximation for sums of local scores in marked point processes with dependent marks via geometric weak mixing conditions.