Convex and non-convex regularization methods for spatial point processes intensity estimation
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Publication:1746561
DOI10.1214/18-EJS1408zbMath1473.62324arXiv1703.02462OpenAlexW3106531786MaRDI QIDQ1746561
Achmad Choiruddin, Frédérique Letué, Jean-François Coeurjolly
Publication date: 25 April 2018
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1703.02462
estimating functionpenalized regressionfeature selectionPoisson likelihoodCampbell theoremlogistic regression likelihood
Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to environmental and related topics (62P12) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items
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Uses Software
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