Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287324714> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4287324714 abstract "With the advent of continuous health monitoring with wearable devices, users now generate their unique streams of continuous data such as minute-level step counts or heartbeats. Summarizing these streams via scalar summaries often ignores the distributional nature of wearable data and almost unavoidably leads to the loss of critical information. We propose to capture the distributional nature of wearable data via user-specific quantile functions (QF) and use these QFs as predictors in scalar-on-quantile-function-regression (SOQFR). As an alternative approach, we also propose to represent QFs via user-specific L-moments, robust rank-based analogs of traditional moments, and use L-moments as predictors in SOQFR (SOQFR-L). These two approaches provide two mutually consistent interpretations: in terms of quantile levels by SOQFR and in terms of L-moments by SOQFR-L. We also demonstrate how to deal with multi-modal distributional data via Joint and Individual Variation Explained (JIVE) using L-moments. The proposed methods are illustrated in a study of association of digital gait biomarkers with cognitive function in Alzheimer's disease (AD). Our analysis shows that the proposed methods demonstrate higher predictive performance and attain much stronger associations with clinical cognitive scales compared to simple distributional summaries." @default.
- W4287324714 created "2022-07-25" @default.
- W4287324714 creator A5009729391 @default.
- W4287324714 creator A5019442831 @default.
- W4287324714 creator A5025798319 @default.
- W4287324714 creator A5064223087 @default.
- W4287324714 creator A5076145211 @default.
- W4287324714 creator A5081983005 @default.
- W4287324714 creator A5082451550 @default.
- W4287324714 creator A5087403454 @default.
- W4287324714 date "2021-02-22" @default.
- W4287324714 modified "2023-10-18" @default.
- W4287324714 title "Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease" @default.
- W4287324714 doi "https://doi.org/10.48550/arxiv.2102.10783" @default.
- W4287324714 hasPublicationYear "2021" @default.
- W4287324714 type Work @default.
- W4287324714 citedByCount "1" @default.
- W4287324714 countsByYear W42873247142022 @default.
- W4287324714 crossrefType "posted-content" @default.
- W4287324714 hasAuthorship W4287324714A5009729391 @default.
- W4287324714 hasAuthorship W4287324714A5019442831 @default.
- W4287324714 hasAuthorship W4287324714A5025798319 @default.
- W4287324714 hasAuthorship W4287324714A5064223087 @default.
- W4287324714 hasAuthorship W4287324714A5076145211 @default.
- W4287324714 hasAuthorship W4287324714A5081983005 @default.
- W4287324714 hasAuthorship W4287324714A5082451550 @default.
- W4287324714 hasAuthorship W4287324714A5087403454 @default.
- W4287324714 hasBestOaLocation W42873247141 @default.
- W4287324714 hasConcept C114614502 @default.
- W4287324714 hasConcept C118671147 @default.
- W4287324714 hasConcept C119857082 @default.
- W4287324714 hasConcept C124101348 @default.
- W4287324714 hasConcept C149635348 @default.
- W4287324714 hasConcept C149782125 @default.
- W4287324714 hasConcept C150594956 @default.
- W4287324714 hasConcept C151800584 @default.
- W4287324714 hasConcept C154945302 @default.
- W4287324714 hasConcept C164226766 @default.
- W4287324714 hasConcept C2524010 @default.
- W4287324714 hasConcept C33923547 @default.
- W4287324714 hasConcept C41008148 @default.
- W4287324714 hasConcept C57691317 @default.
- W4287324714 hasConcept C63817138 @default.
- W4287324714 hasConcept C71924100 @default.
- W4287324714 hasConcept C99508421 @default.
- W4287324714 hasConceptScore W4287324714C114614502 @default.
- W4287324714 hasConceptScore W4287324714C118671147 @default.
- W4287324714 hasConceptScore W4287324714C119857082 @default.
- W4287324714 hasConceptScore W4287324714C124101348 @default.
- W4287324714 hasConceptScore W4287324714C149635348 @default.
- W4287324714 hasConceptScore W4287324714C149782125 @default.
- W4287324714 hasConceptScore W4287324714C150594956 @default.
- W4287324714 hasConceptScore W4287324714C151800584 @default.
- W4287324714 hasConceptScore W4287324714C154945302 @default.
- W4287324714 hasConceptScore W4287324714C164226766 @default.
- W4287324714 hasConceptScore W4287324714C2524010 @default.
- W4287324714 hasConceptScore W4287324714C33923547 @default.
- W4287324714 hasConceptScore W4287324714C41008148 @default.
- W4287324714 hasConceptScore W4287324714C57691317 @default.
- W4287324714 hasConceptScore W4287324714C63817138 @default.
- W4287324714 hasConceptScore W4287324714C71924100 @default.
- W4287324714 hasConceptScore W4287324714C99508421 @default.
- W4287324714 hasLocation W42873247141 @default.
- W4287324714 hasOpenAccess W4287324714 @default.
- W4287324714 hasPrimaryLocation W42873247141 @default.
- W4287324714 hasRelatedWork W2224749288 @default.
- W4287324714 hasRelatedWork W2563003513 @default.
- W4287324714 hasRelatedWork W2606485752 @default.
- W4287324714 hasRelatedWork W3128481383 @default.
- W4287324714 hasRelatedWork W3183286748 @default.
- W4287324714 hasRelatedWork W3205863630 @default.
- W4287324714 hasRelatedWork W4205884682 @default.
- W4287324714 hasRelatedWork W4206618949 @default.
- W4287324714 hasRelatedWork W4237949580 @default.
- W4287324714 hasRelatedWork W4324319436 @default.
- W4287324714 isParatext "false" @default.
- W4287324714 isRetracted "false" @default.
- W4287324714 workType "article" @default.