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Title: On the strong Brillinger-mixing property of ${\alpha }$-determinantal point processes and some applications (English)
Author: Heinrich, Lothar
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 61
Issue: 4
Year: 2016
Pages: 443-461
Summary lang: English
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Category: math
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Summary: First, we derive a representation formula for all cumulant density functions in terms of the non-negative definite kernel function $C(x,y)$ defining an ${\alpha }$-determinantal point process (DPP). Assuming absolute integrability of the function $C_0(x) = C(o,x)$, we show that a stationary ${\alpha }$-DPP with kernel function $C_0(x)$ is ``strongly'' Brillinger-mixing, implying, among others, that its tail-$\sigma $-field is trivial. Second, we use this mixing property to prove rates of normal convergence for shot-noise processes and sketch some applications to statistical second-order analysis of ${\alpha }$-DPPs. (English)
Keyword: determinantal point process
Keyword: permanental point process
Keyword: trivial tail-$\sigma $-field
Keyword: exponential moment
Keyword: shot-noise process
Keyword: Berry-Esseen bound
Keyword: multiparameter $K$-function
Keyword: kernel-type product density estimator
Keyword: goodness-of-fit test
MSC: 60F05
MSC: 60G55
idZBL: Zbl 06644006
idMR: MR3532253
DOI: 10.1007/s10492-016-0141-y
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Date available: 2016-08-01T09:27:08Z
Last updated: 2020-07-02
Stable URL: http://hdl.handle.net/10338.dmlcz/145795
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