Non-parametric smoothing of spatio-temporal point processes

DOI10.1016/J.JSPI.2003.09.030zbMath1058.62110OpenAlexW2020100349MaRDI QIDQ1765757

Carlo Grillenzoni

Publication date: 23 February 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.09.030

zbMATH Keywords

BandwidthCalifornia EarthquakesExponential WeightingKernel density and regressionRecursive testsSpace-time non-stationarity

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Density estimation (62G07) Nonparametric hypothesis testing (62G10) Applications of statistics to environmental and related topics (62P12)

Related Items (3)

Automatic bandwidth selection in robust nonparametric regression ⋮ Hybrid kernel estimates of space-time earthquake occurrence rates using the epidemic-type aftershock sequence model ⋮ Robust nonparametric estimation of the intensity function of point data

Cites Work

• A comparison of Kriging with nonparametric regression methods
• Space-time point-process models for earthquake occurrences
• Analyses of Fish Species Richness With Spatial Covariate
• Stochastic Declustering of Space-Time Earthquake Occurrences
• Nonparametric regression for nonstationary processes
• On the estimation of poles in intensity functions
• Analysing the Interevent Time Distribution to Identify Seismicity Phases: A Bayesian Nonparametric Approach to the Multiple-Changepoint Problem

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