Point process diagnostics based on weighted second-order statistics and their asymptotic properties

DOI10.1007/s10463-008-0177-1zbMath1332.60070OpenAlexW2042815742MaRDI QIDQ904056

Giada Adelfio, Frederic Paik Schoenberg

Publication date: 15 January 2016

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-008-0177-1

zbMATH Keywords

point processsecond-order analysisresidual analysisconditional intensity function

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Inference from stochastic processes (62M99) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Markov processes: hypothesis testing (62M02)

Related Items (9)

Comment on ``A review of self-exciting spatio-temporal point processes and their applications by Alex Reinhart ⋮ Asymptotic goodness-of-fit tests for point processes based on scaled empirical K-functions ⋮ Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks ⋮ Voronoi residual analysis of spatial point process models with applications to California earthquake forecasts ⋮ Intrinsically weighted means and non-ergodic marked point processes ⋮ Assessment of point process models for earthquake forecasting ⋮ Including covariates in a space-time point process with application to seismicity ⋮ Residual analysis methods for space-time point processes with applications to earthquake forecast models in California ⋮ Local spatial log-Gaussian Cox processes for seismic data

Uses Software

• spatial

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