Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891009102> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2891009102 abstract "We investigate generically applicable and intuitively appealing prediction intervals based on leave-one-out residuals. The conditional coverage probability of the proposed interval, given the observations in the training sample, is close to the nominal level, provided that the underlying algorithm used for computing point predictions is sufficiently stable under the omission of single feature-response pairs. Our results are based on a finite sample analysis of the empirical distribution function of the leave-one-out residuals and hold in a non-parametric setting with only minimal assumptions on the error distribution. To illustrate our results, we also apply them to high-dimensional linear predictors, where we obtain uniform asymptotic conditional validity as both sample size and dimension tend to infinity at the same rate. These results show that despite the serious problems of resampling procedures for inference on the unknown parameters (cf. Bickel and Freedman, 1983; El Karoui and Purdom, 2015; Mammen, 1996), leave-one-out methods can be successfully applied to obtain reliable predictive inference even in high dimensions." @default.
- W2891009102 created "2018-09-27" @default.
- W2891009102 creator A5047788854 @default.
- W2891009102 creator A5065988110 @default.
- W2891009102 date "2018-09-05" @default.
- W2891009102 modified "2023-09-27" @default.
- W2891009102 title "Conditional predictive inference for high-dimensional stable algorithms" @default.
- W2891009102 cites W1488642921 @default.
- W2891009102 cites W1553101044 @default.
- W2891009102 cites W1777518721 @default.
- W2891009102 cites W1829169350 @default.
- W2891009102 cites W1981573335 @default.
- W2891009102 cites W1988645907 @default.
- W2891009102 cites W1989598822 @default.
- W2891009102 cites W1993247582 @default.
- W2891009102 cites W2002362019 @default.
- W2891009102 cites W2003463073 @default.
- W2891009102 cites W2011597771 @default.
- W2891009102 cites W2028026621 @default.
- W2891009102 cites W2048662624 @default.
- W2891009102 cites W2079087363 @default.
- W2891009102 cites W2103869087 @default.
- W2891009102 cites W2108818539 @default.
- W2891009102 cites W2120875792 @default.
- W2891009102 cites W2132235473 @default.
- W2891009102 cites W2139338362 @default.
- W2891009102 cites W2153472177 @default.
- W2891009102 cites W2166693382 @default.
- W2891009102 cites W2172001462 @default.
- W2891009102 cites W2213278480 @default.
- W2891009102 cites W2331572485 @default.
- W2891009102 cites W2498092141 @default.
- W2891009102 cites W2516336620 @default.
- W2891009102 cites W2740927346 @default.
- W2891009102 cites W2922110817 @default.
- W2891009102 cites W2964118998 @default.
- W2891009102 cites W3104560798 @default.
- W2891009102 cites W340056678 @default.
- W2891009102 hasPublicationYear "2018" @default.
- W2891009102 type Work @default.
- W2891009102 sameAs 2891009102 @default.
- W2891009102 citedByCount "5" @default.
- W2891009102 countsByYear W28910091022019 @default.
- W2891009102 countsByYear W28910091022020 @default.
- W2891009102 crossrefType "posted-content" @default.
- W2891009102 hasAuthorship W2891009102A5047788854 @default.
- W2891009102 hasAuthorship W2891009102A5065988110 @default.
- W2891009102 hasConcept C103402496 @default.
- W2891009102 hasConcept C105795698 @default.
- W2891009102 hasConcept C11413529 @default.
- W2891009102 hasConcept C114614502 @default.
- W2891009102 hasConcept C117251300 @default.
- W2891009102 hasConcept C150921843 @default.
- W2891009102 hasConcept C154945302 @default.
- W2891009102 hasConcept C2776214188 @default.
- W2891009102 hasConcept C28826006 @default.
- W2891009102 hasConcept C33676613 @default.
- W2891009102 hasConcept C33923547 @default.
- W2891009102 hasConcept C41008148 @default.
- W2891009102 hasConcept C43555835 @default.
- W2891009102 hasConceptScore W2891009102C103402496 @default.
- W2891009102 hasConceptScore W2891009102C105795698 @default.
- W2891009102 hasConceptScore W2891009102C11413529 @default.
- W2891009102 hasConceptScore W2891009102C114614502 @default.
- W2891009102 hasConceptScore W2891009102C117251300 @default.
- W2891009102 hasConceptScore W2891009102C150921843 @default.
- W2891009102 hasConceptScore W2891009102C154945302 @default.
- W2891009102 hasConceptScore W2891009102C2776214188 @default.
- W2891009102 hasConceptScore W2891009102C28826006 @default.
- W2891009102 hasConceptScore W2891009102C33676613 @default.
- W2891009102 hasConceptScore W2891009102C33923547 @default.
- W2891009102 hasConceptScore W2891009102C41008148 @default.
- W2891009102 hasConceptScore W2891009102C43555835 @default.
- W2891009102 hasLocation W28910091021 @default.
- W2891009102 hasOpenAccess W2891009102 @default.
- W2891009102 hasPrimaryLocation W28910091021 @default.
- W2891009102 hasRelatedWork W2071413012 @default.
- W2891009102 hasRelatedWork W2149695474 @default.
- W2891009102 hasRelatedWork W2252530131 @default.
- W2891009102 hasRelatedWork W2303243086 @default.
- W2891009102 hasRelatedWork W2338845755 @default.
- W2891009102 hasRelatedWork W2532042523 @default.
- W2891009102 hasRelatedWork W2565330167 @default.
- W2891009102 hasRelatedWork W2804536852 @default.
- W2891009102 hasRelatedWork W2949067276 @default.
- W2891009102 hasRelatedWork W2989676830 @default.
- W2891009102 hasRelatedWork W2997406846 @default.
- W2891009102 hasRelatedWork W3094050301 @default.
- W2891009102 hasRelatedWork W3121371780 @default.
- W2891009102 hasRelatedWork W3122616244 @default.
- W2891009102 hasRelatedWork W3123627494 @default.
- W2891009102 hasRelatedWork W3124078255 @default.
- W2891009102 hasRelatedWork W3154336890 @default.
- W2891009102 hasRelatedWork W3185554739 @default.
- W2891009102 hasRelatedWork W2740607033 @default.
- W2891009102 hasRelatedWork W2924358167 @default.
- W2891009102 isParatext "false" @default.
- W2891009102 isRetracted "false" @default.
- W2891009102 magId "2891009102" @default.
- W2891009102 workType "article" @default.