Adaptive Lasso and Dantzig selector for spatial point processes intensity estimation

DOI10.3150/22-bej1523arXiv2101.03698OpenAlexW3121025110MaRDI QIDQ6103217

Achmad Choiruddin, Frédérique Letué, Jean-François Coeurjolly

Publication date: 2 June 2023

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.03698

zbMATH Keywords

linear programmingregularization methodsestimating equationshigh-dimensional statisticsspatial point pattern

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Inference from stochastic processes (62Mxx) Nonparametric inference (62Gxx)

Cites Work

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• An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes
• Variable selection using penalised likelihoods for point patterns on a linear network
• Information criteria for inhomogeneous spatial point processes

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