Testing Separability in Spatial-Temporal Marked Point Processes

اسناد مشابه

• Testing separability in spatial-temporal marked point processes.

  سند علمی۲۰۰۴BiometricsFrederic Paik Schoenberg

  Nonparametric tests for investigating the separability of a spatial-temporal marked point process are described and compared. It is shown that a Cramer-von Mises-type test is very powerful at detecting gradual departures from separability, and that a residual test based on random

• A note on testing separability in spatial-temporal marked point processes.

  سند علمی۲۰۰۷BiometricsRenato Assunção, Alexandra Maia

  In environmental risk analysis, it is common to assume the stochastic independence (or separability) between the marks associated with the random events of a spatial-temporal point process. Schoenberg (2004, Biometrics 60, 471-481) proposed several test statistics for this hypoth

• THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Modelling and Inference for Spatio-Temporal Marked Point Processes

  سند علمی۲۰۱۱Ottmar Cronie

  This thesis deals with inference problems related to the growth-interaction process (GIprocess). The GI-process is a continuous time spatio-temporal point process with dynamic interacting marks (closed disks), in which the immigration-death process (ID-process) controls the arriv

• Spatio-temporal càdlàg functional marked point processes: Unifying spatio-temporal frameworks

  سند علمی۲۰۱۴Ottmar Cronie, Jorge Mateu

  This paper defines the class of càdlàg functional marked point processes (CFMPPs). These are (spatio-temporal) point processes marked by random elements which take values in a càdlàg function space, i.e. the marks are given by càdlàg stochastic processes. We generalise notions of

• Spatial Regression for Marked Point Processes

  سند علمی۲۰۰۸KATJA ICKSTADT, ROBERT L. WOLPERT, R. L. Wolpert

  In a wide range of applications, dependence on smoothly-varying covariates leads spatial point count intensities to feature positive correlation for nearby locations. In applications where the points are “marked” with individual attributes, the distributions for points with varyi

• A Marked Point Process Perspective in Fitting Spatial Point Process Models

  سند علمی۲۰۰۷Yongtao Guan

  This paper discusses a new perspective in fitting spatial point process models. Specifically the spatial point process of interest is treated as a marked point process where at each observed event x a stochastic process M(x; t), 0 < t < r, is defined. Each mark process M(x; t) is