Matches in SemOpenAlex for { <https://semopenalex.org/work/W3104063934> ?p ?o ?g. }
- W3104063934 endingPage "440" @default.
- W3104063934 startingPage "423" @default.
- W3104063934 abstract "The mixture of factor analyzers model, which has been used successfully for the model-based clustering of high-dimensional data, is extended to generalized hyperbolic mixtures. The development of a mixture of generalized hyperbolic factor analyzers is outlined, drawing upon the relationship with the generalized inverse Gaussian distribution. An alternating expectation-conditional maximization algorithm is used for parameter estimation, and the Bayesian information criterion is used to select the number of factors as well as the number of components. The performance of our generalized hyperbolic factor analyzers model is illustrated on real and simulated data, where it performs favourably compared to its Gaussian analogue and other approaches." @default.
- W3104063934 created "2020-11-23" @default.
- W3104063934 creator A5007643370 @default.
- W3104063934 creator A5013347253 @default.
- W3104063934 creator A5069386158 @default.
- W3104063934 date "2015-04-07" @default.
- W3104063934 modified "2023-10-03" @default.
- W3104063934 title "A mixture of generalized hyperbolic factor analyzers" @default.
- W3104063934 cites W1548669759 @default.
- W3104063934 cites W1755019093 @default.
- W3104063934 cites W194034371 @default.
- W3104063934 cites W1964231120 @default.
- W3104063934 cites W1973247608 @default.
- W3104063934 cites W1975419935 @default.
- W3104063934 cites W1976969815 @default.
- W3104063934 cites W1976990135 @default.
- W3104063934 cites W1977782726 @default.
- W3104063934 cites W1982792229 @default.
- W3104063934 cites W1988508705 @default.
- W3104063934 cites W1988586734 @default.
- W3104063934 cites W1988754565 @default.
- W3104063934 cites W1995935550 @default.
- W3104063934 cites W1997354990 @default.
- W3104063934 cites W2010871984 @default.
- W3104063934 cites W2014306350 @default.
- W3104063934 cites W2021137021 @default.
- W3104063934 cites W2023831651 @default.
- W3104063934 cites W2024476015 @default.
- W3104063934 cites W2026414138 @default.
- W3104063934 cites W2029217165 @default.
- W3104063934 cites W2031919959 @default.
- W3104063934 cites W2033403400 @default.
- W3104063934 cites W2039615557 @default.
- W3104063934 cites W2044087250 @default.
- W3104063934 cites W2044186721 @default.
- W3104063934 cites W2045254715 @default.
- W3104063934 cites W2046011840 @default.
- W3104063934 cites W2046343360 @default.
- W3104063934 cites W2058382689 @default.
- W3104063934 cites W2065708566 @default.
- W3104063934 cites W2073984943 @default.
- W3104063934 cites W2076146315 @default.
- W3104063934 cites W2082092506 @default.
- W3104063934 cites W2085808540 @default.
- W3104063934 cites W2095373758 @default.
- W3104063934 cites W2105787212 @default.
- W3104063934 cites W2105912300 @default.
- W3104063934 cites W2116515288 @default.
- W3104063934 cites W2128540811 @default.
- W3104063934 cites W2134507164 @default.
- W3104063934 cites W2150230417 @default.
- W3104063934 cites W2152904625 @default.
- W3104063934 cites W2160555827 @default.
- W3104063934 cites W2168175751 @default.
- W3104063934 cites W2168980979 @default.
- W3104063934 cites W2169694221 @default.
- W3104063934 cites W2331034993 @default.
- W3104063934 cites W306662213 @default.
- W3104063934 cites W3101477620 @default.
- W3104063934 cites W3125339951 @default.
- W3104063934 cites W4235169531 @default.
- W3104063934 cites W658480157 @default.
- W3104063934 doi "https://doi.org/10.1007/s11634-015-0204-z" @default.
- W3104063934 hasPublicationYear "2015" @default.
- W3104063934 type Work @default.
- W3104063934 sameAs 3104063934 @default.
- W3104063934 citedByCount "34" @default.
- W3104063934 countsByYear W31040639342014 @default.
- W3104063934 countsByYear W31040639342015 @default.
- W3104063934 countsByYear W31040639342016 @default.
- W3104063934 countsByYear W31040639342017 @default.
- W3104063934 countsByYear W31040639342018 @default.
- W3104063934 countsByYear W31040639342019 @default.
- W3104063934 countsByYear W31040639342020 @default.
- W3104063934 countsByYear W31040639342021 @default.
- W3104063934 countsByYear W31040639342022 @default.
- W3104063934 countsByYear W31040639342023 @default.
- W3104063934 crossrefType "journal-article" @default.
- W3104063934 hasAuthorship W3104063934A5007643370 @default.
- W3104063934 hasAuthorship W3104063934A5013347253 @default.
- W3104063934 hasAuthorship W3104063934A5069386158 @default.
- W3104063934 hasBestOaLocation W31040639342 @default.
- W3104063934 hasConcept C102094743 @default.
- W3104063934 hasConcept C105795698 @default.
- W3104063934 hasConcept C121332964 @default.
- W3104063934 hasConcept C126255220 @default.
- W3104063934 hasConcept C134306372 @default.
- W3104063934 hasConcept C163716315 @default.
- W3104063934 hasConcept C168136583 @default.
- W3104063934 hasConcept C171383496 @default.
- W3104063934 hasConcept C182081679 @default.
- W3104063934 hasConcept C18912344 @default.
- W3104063934 hasConcept C199360897 @default.
- W3104063934 hasConcept C2776330181 @default.
- W3104063934 hasConcept C2781039887 @default.
- W3104063934 hasConcept C28826006 @default.
- W3104063934 hasConcept C33923547 @default.
- W3104063934 hasConcept C41008148 @default.