Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Sharon X. Lee"'
Autor:
Sharon X. Lee, Geoffrey J. McLachlan
Publikováno v:
Journal of Statistical Software, Vol 83, Iss 1, Pp 1-32 (2018)
This paper presents the R package EMMIXcskew for the fitting of the canonical fundamental skew t-distribution (CFUST) and finite mixtures of CFUST distributions (FMCFUST) via maximum likelihood (ML). The CFUST distribution provides a flexible family
Externí odkaz:
https://doaj.org/article/5cf9035f464646d1a6f6d2dd0f99889b
Publikováno v:
Statistical Modelling. 23:247-272
A flexible class of multivariate distributions called scale mixtures of fragmental normal (SMFN) distributions, is introduced. Its extension to the case of a finite mixture of SMFN (FM-SMFN) distributions is also proposed. The SMFN family of distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26f4daa07641e8ee895fe79bb3cc468b
https://doi.org/10.1177/1471082x211048660
https://doi.org/10.1177/1471082x211048660
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:297-304
Finite mixture models are powerful tools for modeling and analyzing heterogeneous data. Parameter estimation is typically carried out using maximum likelihood estimation via the Expectation-Maximization (EM) algorithm. Recently, the adoption of flexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bd80fe1f1bcfa0d4c14acd50632b057
https://doi.org/10.1002/sam.11529
https://doi.org/10.1002/sam.11529
Autor:
Geoff McLachlan, Sharon X Lee
Publikováno v:
Journal of Statistical Software, Vol 55, Iss 1, Pp 1-22 (2013)
This paper describes an algorithm for fitting finite mixtures of unrestricted Multivariate Skew t (FM-uMST) distributions. The package EMMIXuskew implements a closed-form expectation-maximization (EM) algorithm for computing the maximum likelihood (M
Externí odkaz:
https://doaj.org/article/3fe9eed0209a43b5a77663205bc665ac
Autor:
Geoffrey J. McLachlan, Sharon X. Lee
Publikováno v:
Wiley StatsRef: Statistics Reference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbd7508a00bace4ca8fb3595ccb17997
https://doi.org/10.1002/9781118445112.stat08201
https://doi.org/10.1002/9781118445112.stat08201
Publikováno v:
J Appl Stat
This paper proposes a new regression model for the analysis of spatial panel data in the case of spatial heterogeneity and non-normality. In empirical economic research, the normality of error components is a routine assumption for the models with co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d41ea34ed604158ea8a394cfa0575dd4
https://doi.org/10.1080/02664763.2019.1657812
https://doi.org/10.1080/02664763.2019.1657812
Publikováno v:
Annual Review of Statistics and Its Application. 6:355-378
The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the statistical and general scientific literature. The aim of this article
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::764469efea9f89899f859b0e97bce558
https://doi.org/10.1146/annurev-statistics-031017-100325
https://doi.org/10.1146/annurev-statistics-031017-100325
Autor:
Saumyadipta Pyne, Sharon X Lee, Kui Wang, Jonathan Irish, Pablo Tamayo, Marc-Danie Nazaire, Tarn Duong, Shu-Kay Ng, David Hafler, Ronald Levy, Garry P Nolan, Jill Mesirov, Geoffrey J McLachlan
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e100334 (2014)
In biomedical applications, an experimenter encounters different potential sources of variation in data such as individual samples, multiple experimental conditions, and multivariate responses of a panel of markers such as from a signaling network. I
Externí odkaz:
https://doaj.org/article/dd52fd1a30804c99a0e09c02ef3b258c
Autor:
Sharon X. Lee, Geoffrey J. McLachlan
Publikováno v:
Statistical Learning and Modeling in Data Analysis ISBN: 9783030699437
Parametric distributions are an important part of statistics. There is now a voluminous literature on different fascinating formulations of flexible distributions. We present a selective and brief overview of a small subset of these distributions, fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a009195d387240ae1b6e3f6814ab1b53
https://doi.org/10.1007/978-3-030-69944-4_13
https://doi.org/10.1007/978-3-030-69944-4_13
Publikováno v:
Mathematical, Computational and Experimental T Cell Immunology ISBN: 9783030572037
Cytometry is frequently used in immunological research, pre-clinical trials, clinical diagnosis, and monitoring of lymphomas, leukemia, and AIDS. However, analysis of modern high-throughput cytometric data presents great challenges for current comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083ce1a8179e4ecf75790b52de612f0b
https://doi.org/10.1007/978-3-030-57204-4_16
https://doi.org/10.1007/978-3-030-57204-4_16