Matches in SemOpenAlex for { <https://semopenalex.org/work/W3122058741> ?p ?o ?g. }
- W3122058741 abstract "Gibbs point processes (GPPs) constitute a large and flexible class of spatial point processes with explicit dependence between the points. They can model attractive as well as repulsive point patterns. Feature selection procedures are an important topic in high-dimensional statistical modeling. In this paper, composite likelihood approach regularized with convex and non-convex penalty functions is proposed to handle statistical inference for possibly high-dimensional inhomogeneous GPPs. The composite likelihood incorporates both the pseudo-likelihood and the logistic composite likelihood. We particularly investigate the setting where the number of covariates diverges as the domain of observation increases. Under some conditions provided on the spatial GPP and on the penalty functions, we show that the oracle property, the consistency and the asymptotic normality hold. Our results also cover the low-dimensional case which fills a large gap in the literature. Through simulation experiments, we validate our theoretical results and finally, an application to a tropical forestry dataset illustrates the use of the proposed approach." @default.
- W3122058741 created "2021-02-01" @default.
- W3122058741 creator A5023916398 @default.
- W3122058741 creator A5075170456 @default.
- W3122058741 date "2020-03-22" @default.
- W3122058741 modified "2023-09-27" @default.
- W3122058741 title "Inference for possibly high-dimensional inhomogeneous Gibbs point processes" @default.
- W3122058741 cites W1489984389 @default.
- W3122058741 cites W1510924284 @default.
- W3122058741 cites W1519516901 @default.
- W3122058741 cites W1800519929 @default.
- W3122058741 cites W2004910542 @default.
- W3122058741 cites W2014360396 @default.
- W3122058741 cites W2047152877 @default.
- W3122058741 cites W2052558531 @default.
- W3122058741 cites W2054047090 @default.
- W3122058741 cites W2060812572 @default.
- W3122058741 cites W2074682976 @default.
- W3122058741 cites W2079919087 @default.
- W3122058741 cites W2085384893 @default.
- W3122058741 cites W2086081787 @default.
- W3122058741 cites W2092411916 @default.
- W3122058741 cites W2096836687 @default.
- W3122058741 cites W2097360283 @default.
- W3122058741 cites W2101157574 @default.
- W3122058741 cites W2106962432 @default.
- W3122058741 cites W2115621436 @default.
- W3122058741 cites W2130588666 @default.
- W3122058741 cites W2134458601 @default.
- W3122058741 cites W2135046866 @default.
- W3122058741 cites W2142477181 @default.
- W3122058741 cites W2168175751 @default.
- W3122058741 cites W2296650473 @default.
- W3122058741 cites W2325682636 @default.
- W3122058741 cites W2419972896 @default.
- W3122058741 cites W2488541520 @default.
- W3122058741 cites W2584234609 @default.
- W3122058741 cites W2793073182 @default.
- W3122058741 cites W2798037628 @default.
- W3122058741 cites W2962707679 @default.
- W3122058741 cites W2962879966 @default.
- W3122058741 cites W2963616195 @default.
- W3122058741 cites W2963791652 @default.
- W3122058741 cites W3010088418 @default.
- W3122058741 cites W3099084266 @default.
- W3122058741 cites W3106531786 @default.
- W3122058741 cites W563845060 @default.
- W3122058741 cites W600630852 @default.
- W3122058741 hasPublicationYear "2020" @default.
- W3122058741 type Work @default.
- W3122058741 sameAs 3122058741 @default.
- W3122058741 citedByCount "2" @default.
- W3122058741 countsByYear W31220587412020 @default.
- W3122058741 countsByYear W31220587412021 @default.
- W3122058741 crossrefType "posted-content" @default.
- W3122058741 hasAuthorship W3122058741A5023916398 @default.
- W3122058741 hasAuthorship W3122058741A5075170456 @default.
- W3122058741 hasConcept C105795698 @default.
- W3122058741 hasConcept C107673813 @default.
- W3122058741 hasConcept C11413529 @default.
- W3122058741 hasConcept C119043178 @default.
- W3122058741 hasConcept C119857082 @default.
- W3122058741 hasConcept C121332964 @default.
- W3122058741 hasConcept C121864883 @default.
- W3122058741 hasConcept C126255220 @default.
- W3122058741 hasConcept C134261354 @default.
- W3122058741 hasConcept C154945302 @default.
- W3122058741 hasConcept C158424031 @default.
- W3122058741 hasConcept C2776214188 @default.
- W3122058741 hasConcept C2776436953 @default.
- W3122058741 hasConcept C28826006 @default.
- W3122058741 hasConcept C33923547 @default.
- W3122058741 hasConcept C41008148 @default.
- W3122058741 hasConcept C88871306 @default.
- W3122058741 hasConceptScore W3122058741C105795698 @default.
- W3122058741 hasConceptScore W3122058741C107673813 @default.
- W3122058741 hasConceptScore W3122058741C11413529 @default.
- W3122058741 hasConceptScore W3122058741C119043178 @default.
- W3122058741 hasConceptScore W3122058741C119857082 @default.
- W3122058741 hasConceptScore W3122058741C121332964 @default.
- W3122058741 hasConceptScore W3122058741C121864883 @default.
- W3122058741 hasConceptScore W3122058741C126255220 @default.
- W3122058741 hasConceptScore W3122058741C134261354 @default.
- W3122058741 hasConceptScore W3122058741C154945302 @default.
- W3122058741 hasConceptScore W3122058741C158424031 @default.
- W3122058741 hasConceptScore W3122058741C2776214188 @default.
- W3122058741 hasConceptScore W3122058741C2776436953 @default.
- W3122058741 hasConceptScore W3122058741C28826006 @default.
- W3122058741 hasConceptScore W3122058741C33923547 @default.
- W3122058741 hasConceptScore W3122058741C41008148 @default.
- W3122058741 hasConceptScore W3122058741C88871306 @default.
- W3122058741 hasLocation W31220587411 @default.
- W3122058741 hasOpenAccess W3122058741 @default.
- W3122058741 hasPrimaryLocation W31220587411 @default.
- W3122058741 hasRelatedWork W1532837314 @default.
- W3122058741 hasRelatedWork W1832190642 @default.
- W3122058741 hasRelatedWork W1888696159 @default.
- W3122058741 hasRelatedWork W1977446441 @default.
- W3122058741 hasRelatedWork W2102681246 @default.
- W3122058741 hasRelatedWork W2551519396 @default.