Spatial CART classification trees

DOI10.1007/s00180-021-01091-6zbMath1505.62049OpenAlexW2943086206MaRDI QIDQ2135924

Avner Bar-Hen, Jean-Michel Poggi, Servane Gey

Publication date: 10 May 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-021-01091-6

zbMATH Keywords

CARTbivariate marked point processRipley's intertype \(K\)-functionspatial CART

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• R
• mboost
• ElemStatLearn
• CAPUSHE
• RgoogleMaps
• BartPy

Cites Work

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• BART: Bayesian additive regression trees
• Model-based boosting in R: a hands-on tutorial using the R package mboost
• BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
• Slope heuristics: overview and implementation
• CART algorithm for spatial data: application to environmental and ecological data
• Simulation study of dissimilarity between point processes
• Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
• Minimal penalties and the slope heuristics: a survey

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