Sliced Inverse Regression and Independence in Random Marked Sets with Covariates

DOI10.1239/aap/1377868532zbMath1292.60015OpenAlexW2011713301MaRDI QIDQ2856029

Viktor Beneš, Jakub Staněk, Blažena Kratochvílová, Ondřej Šedivý

Publication date: 23 October 2013

Published in: Advances in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aap/1377868532

zbMATH Keywords

dimension reductionGaussian random fieldcovariatecentral subspacerandom marked set

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Geometric probability and stochastic geometry (60D05)

Related Items

Dimension reduction in extended quermass-interaction process ⋮ On random marked sets with a smaller integer dimension

Uses Software

• spatstat

Cites Work

• On Consistent Nonparametric Intensity Estimation for Inhomogeneous Spatial Point Processes
• Random Marked Sets
• Stochastic and Integral Geometry
• On Directional Regression for Dimension Reduction
• Sliced Inverse Regression for Dimension Reduction
• Ergodic theorems for spatial processes
• Detecting Dependence Between Marks and Locations of Marked Point Processes
• Statistical Analysis and Modelling of Spatial Point Patterns
• Random processes of Hausdorff rectifiable closet sets
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