Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287302910> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W4287302910 abstract "This paper presents the first general (supervised) statistical learning framework for point processes in general spaces. Our approach is based on the combination of two new concepts, which we define in the paper: i) bivariate innovations, which are measures of discrepancy/prediction-accuracy between two point processes, and ii) point process cross-validation (CV), which we here define through point process thinning. The general idea is to carry out the fitting by predicting CV-generated validation sets using the corresponding training sets; the prediction error, which we minimise, is measured by means of bivariate innovations. Having established various theoretical properties of our bivariate innovations, we study in detail the case where the CV procedure is obtained through independent thinning and we apply our statistical learning methodology to three typical spatial statistical settings, namely parametric intensity estimation, non-parametric intensity estimation and Papangelou conditional intensity fitting. Aside from deriving theoretical properties related to these cases, in each of them we numerically show that our statistical learning approach outperforms the state of the art in terms of mean (integrated) squared error." @default.
- W4287302910 created "2022-07-25" @default.
- W4287302910 creator A5068989149 @default.
- W4287302910 creator A5081968697 @default.
- W4287302910 creator A5082167522 @default.
- W4287302910 date "2021-03-01" @default.
- W4287302910 modified "2023-10-18" @default.
- W4287302910 title "Statistical learning and cross-validation for point processes" @default.
- W4287302910 doi "https://doi.org/10.48550/arxiv.2103.01356" @default.
- W4287302910 hasPublicationYear "2021" @default.
- W4287302910 type Work @default.
- W4287302910 citedByCount "0" @default.
- W4287302910 crossrefType "posted-content" @default.
- W4287302910 hasAuthorship W4287302910A5068989149 @default.
- W4287302910 hasAuthorship W4287302910A5081968697 @default.
- W4287302910 hasAuthorship W4287302910A5082167522 @default.
- W4287302910 hasBestOaLocation W42873029101 @default.
- W4287302910 hasConcept C105795698 @default.
- W4287302910 hasConcept C111919701 @default.
- W4287302910 hasConcept C114289077 @default.
- W4287302910 hasConcept C117251300 @default.
- W4287302910 hasConcept C119857082 @default.
- W4287302910 hasConcept C154945302 @default.
- W4287302910 hasConcept C24574437 @default.
- W4287302910 hasConcept C2524010 @default.
- W4287302910 hasConcept C28719098 @default.
- W4287302910 hasConcept C33923547 @default.
- W4287302910 hasConcept C41008148 @default.
- W4287302910 hasConcept C64341305 @default.
- W4287302910 hasConcept C88871306 @default.
- W4287302910 hasConcept C98045186 @default.
- W4287302910 hasConceptScore W4287302910C105795698 @default.
- W4287302910 hasConceptScore W4287302910C111919701 @default.
- W4287302910 hasConceptScore W4287302910C114289077 @default.
- W4287302910 hasConceptScore W4287302910C117251300 @default.
- W4287302910 hasConceptScore W4287302910C119857082 @default.
- W4287302910 hasConceptScore W4287302910C154945302 @default.
- W4287302910 hasConceptScore W4287302910C24574437 @default.
- W4287302910 hasConceptScore W4287302910C2524010 @default.
- W4287302910 hasConceptScore W4287302910C28719098 @default.
- W4287302910 hasConceptScore W4287302910C33923547 @default.
- W4287302910 hasConceptScore W4287302910C41008148 @default.
- W4287302910 hasConceptScore W4287302910C64341305 @default.
- W4287302910 hasConceptScore W4287302910C88871306 @default.
- W4287302910 hasConceptScore W4287302910C98045186 @default.
- W4287302910 hasLocation W42873029101 @default.
- W4287302910 hasOpenAccess W4287302910 @default.
- W4287302910 hasPrimaryLocation W42873029101 @default.
- W4287302910 hasRelatedWork W1987518781 @default.
- W4287302910 hasRelatedWork W2051221975 @default.
- W4287302910 hasRelatedWork W2096369821 @default.
- W4287302910 hasRelatedWork W2111813998 @default.
- W4287302910 hasRelatedWork W2126305855 @default.
- W4287302910 hasRelatedWork W2182173776 @default.
- W4287302910 hasRelatedWork W3032655963 @default.
- W4287302910 hasRelatedWork W3134254888 @default.
- W4287302910 hasRelatedWork W4280641758 @default.
- W4287302910 hasRelatedWork W4313304788 @default.
- W4287302910 isParatext "false" @default.
- W4287302910 isRetracted "false" @default.
- W4287302910 workType "article" @default.