SAGE
发表于 2025-3-25 05:24:15
https://doi.org/10.1007/0-387-31144-0Branching process; Markov property; Poisson process; point process; principal component analysis; statist
impale
发表于 2025-3-25 09:00:47
978-0-387-28311-1Springer-Verlag New York 2006
cochlea
发表于 2025-3-25 12:25:37
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食道
发表于 2025-3-25 18:51:00
Progress in Theoretical Computer Sciencedemonstrate how the martingale technique applies to establish the analogues of the classical results: Doob’s theorem, Wald identity in this multi-dimensional setting. In particular, we show that the famous Slivnyak-Mecke theorem characterising the Poisson process is a consequence of the strong Markov property.
直觉没有
发表于 2025-3-25 20:17:56
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Perennial长期的
发表于 2025-3-26 03:32:10
Strong Markov Property of Poisson Processes and Slivnyak Formulademonstrate how the martingale technique applies to establish the analogues of the classical results: Doob’s theorem, Wald identity in this multi-dimensional setting. In particular, we show that the famous Slivnyak-Mecke theorem characterising the Poisson process is a consequence of the strong Markov property.
断言
发表于 2025-3-26 07:52:05
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表皮
发表于 2025-3-26 10:04:52
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Audiometry
发表于 2025-3-26 14:28:44
Bayesian Analysis of Markov Point Processeslihood function is only specified up to a normalising constant. We illustrate the method in the setting of Bayesian inference for Markov point processes; more specifically we consider a likelihood function given by a Strauss point process with priors imposed on the unknown parameters. The method rel
Offensive
发表于 2025-3-26 20:25:45
Statistics for Locally Scaled Point Processesodifications of homogeneous template point processes and have the property that regions with different intensity differ only by a location dependent scale factor. The main emphasis of the present paper is on analysis of such models. Statistical methods are developed for estimation of scaling functio