On the trend detection of time-ordered intensity images of point processes on linear networks

DOI10.1080/03610918.2021.1881116OpenAlexW3130798719MaRDI QIDQ6171857

Mehdi Moradi, Unnamed Author, Jorge Mateu

Publication date: 18 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1881116

zbMATH Keywords

separabilityrelative riskspatio-temporal datatraffic accidentMann-Kendall trend teststreet crime

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation

Cites Work

• Unnamed Item
• A Non-Parametric Approach to the Change-Point Problem
• High-dimensional changepoint detection via a geometrically inspired mapping
• Testing and dating of structural changes in practice
• Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
• Kernel estimation of relative risk
• Estimation of relative risk for events on a linear network
• Resample-smoothing of Voronoi intensity estimators
• Geometrically Corrected Second Order Analysis of Events on a Linear Network, with Applications to Ecology and Criminology
• On Kernel-Based Intensity Estimation of Spatial Point Patterns on Linear Networks
• Applied Spatial Data Analysis with R
• A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
• Kernel Density Estimation on a Linear Network
• Nonparametric Tests Against Trend
• SOME QUICK SIGN TESTS FOR TREND IN LOCATION AND DISPERSION
• Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

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