Estimating and testing zones of abrupt change for spatial data

DOI10.1007/s11222-009-9151-xzbMath1254.62102OpenAlexW2031013135MaRDI QIDQ692956

Edith Gabriel, Denis Allard, Jean-Noel Bacro

Publication date: 6 December 2012

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://hal.inrae.fr/hal-02652293/document

zbMATH Keywords

geostatisticsGaussian random fieldsexcursion setgradient estimation\(\chi^2\) random fieldswombling

Mathematics Subject Classification ID

Related Items (5)

Skew-Gaussian random field ⋮ Optimal change point detection in Gaussian processes ⋮ Detecting abrupt changes in the gradient of a Gaussian field and application to the environmental sciences ⋮ Bayesian modeling and analysis for gradients in spatiotemporal processes ⋮ Estimation of 2D jump location curve and 3D jump location surface in nonparametric regression

Uses Software

• EFDR
• SiZer

Cites Work

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• Bayesian Wombling
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• Extrema and level crossings of χ² processes
• Local Maxima and the Expected Euler Characteristic of Excursion Sets of χ ², F and t Fields
• Testing for signals with unknown location and scale in a χ²random field, with an application to fMRI
• Nonparametric Hypothesis Testing for a Spatial Signal
• Directional Rates of Change Under Spatial Process Models
• SiZer for Exploration of Structures in Curves
• The size of the connected components of excursion sets of χ², t and F fields
• Random Fields and Geometry
• Bayesian Wombling for Spatial Point Processes

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