Titlebook: Case Studies in Spatial Point Process Modeling; Adrian Baddeley,Pablo Gregori,Dietrich Stoyan Book 2006 Springer-Verlag New York 2006 Bran

SAGE

https://doi.org/10.1007/0-387-31144-0Branching process; Markov property; Poisson process; point process; principal component analysis; statist

impale

978-0-387-28311-1Springer-Verlag New York 2006

cochlea

食道

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

Perennial长期的

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

表皮

Audiometry

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

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