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检索条件"主题词=AECM algorithm"
17 条 记 录,以下是1-10 订阅
Mixtures of t factor analysers with censored responses and external covariates: An application to educational data from Peru
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British Journal of Mathematical and Statistical Psychology 2024年 第2期77卷 316-336页
作者: Wang, Wan-Lun Castro, Luis M. Li, Huei-Jyun Lin, Tsung-I Department of Statistics and Institute of Data Science National Cheng Kung University Tainan Taiwan Department of Statistics Pontificia Universidad Católica de Chile Santiago Chile Center for the Discovery of Structures in Complex Data Santiago Chile Institute of Statistics National Chung Hsing University Taichung Taiwan Department of Public Health China Medical University Taichung Taiwan
Analysing data from educational tests allows governments to make decisions for improving the quality of life of individuals in a society. One of the key responsibilities of statisticians is to develop models that prov... 详细信息
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A robust factor analysis model based on the canonical fundamental skew-t distribution
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Statistical Papers 2023年 第2期64卷 367-393页
作者: Lin, Tsung-I Chen, I-An Wang, Wan-Lun Department of Statistics and Institute of Data Science National Cheng Kung University Tainan 701 Taiwan Institute of Statistics National Chung Hsing University Taichung 402 Taiwan Department of Public Health China Medical University Taichung 404 Taiwan
The traditional factor analysis rested on the assumption of multivariate normality has been extended by considering the restricted multivariate skew-t (rMST) distribution for the unobserved factors and errors jointly.... 详细信息
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Robust clustering of multiply censored data via mixtures of t factor analyzers
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TEST 2022年 第1期31卷 22-53页
作者: Wang, Wan-Lun Lin, Tsung-, I Feng Chia Univ Grad Inst Stat & Actuarial Sci Dept Stat Taichung Taiwan Natl Chung Hsing Univ Inst Stat Taichung Taiwan China Med Univ Dept Publ Hlth Taichung Taiwan
Mixtures of t factor analyzers (MtFA) have been well recognized as a prominent tool in modeling and clustering multivariate data contaminated with heterogeneity and outliers. In certain practical situations, however, ... 详细信息
来源: 评论
State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2021年 第12期35卷 2521-2536页
作者: Gong, Mengyi Miller, Claire Scott, Marian O'Donnell, Ruth Simis, Stefan Groom, Steve Tyler, Andrew Hunter, Peter Spyrakos, Evangelos Univ Lancaster Dept Math & Stat Lancaster LA1 4YF England Univ Glasgow Sch Math & Stat Glasgow G12 8QQ Lanark Scotland Plymouth Marine Lab Plymouth PL1 3JH Devon England Univ Stirling Sch Biol & Environm Sci Stirling KF9 4LA Scotland
Satellite remote sensing can provide indicative measures of environmental variables that are crucial to understanding the environment. The spatial and temporal coverage of satellite images allows scientists to investi... 详细信息
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Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables
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STATISTICAL PAPERS 2021年 第5期62卷 2119-2145页
作者: Wang, Wan-Lun Castro, Luis M. Hsieh, Wan-Chen Lin, Tsung-, I Feng Chia Univ Dept Stat Grad Inst Stat & Actuarial Sci Taichung 40724 Taiwan Pontificia Univ Catolica Chile Dept Stat Casilla 306Correo 22 Santiago Chile Millennium Nucleus Ctr Discovery Struct Complex D Santiago Chile Pontificia Univ Catolica Chile Ctr Riesgos & Seguros UC Santiago Chile Natl Chung Hsing Univ Inst Stat Taichung 402 Taiwan China Med Univ Dept Publ Hlth Taichung 404 Taiwan
Censored data arise frequently in diverse applications in which observations to be measured may be subject to some upper and lower detection limits due to the restriction of experimental apparatus such that they are n... 详细信息
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Robust Bilinear Probabilistic Principal Component Analysis
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algorithmS 2021年 第11期14卷 322页
作者: Lu, Yaohang Teng, Zhongming Fujian Agr & Forestry Univ Coll Comp & Informat Sci Fuzhou 350002 Peoples R China
Principal component analysis (PCA) is one of the most popular tools in multivariate exploratory data analysis. Its probabilistic version (PPCA) based on the maximum likelihood procedure provides a probabilistic manner... 详细信息
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Model-based clustering of censored data via mixtures of factor analyzers
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2019年 140卷 104-121页
作者: Wang, Wan-Lun Castro, Luis M. Lachos, Victor H. Lin, Tsung-I Feng Chia Univ Grad Inst Stat & Actuarial Sci Dept Stat Taichung 40724 Taiwan Pontificia Univ Catolica Chile Dept Stat Casilla 306Correo 22 Santiago Chile Millennium Nucleus Ctr Discovery Struct Complex D Santiago Chile Pontificia Univ Catolica Chile Ctr Riesgos & Seguros UC Santiago Chile Univ Connecticut Dept Stat Storrs CT 06269 USA Natl Chung Hsing Univ Inst Stat Taichung 402 Taiwan China Med Univ Dept Publ Hlth Taichung 404 Taiwan
Mixtures of factor analyzers (MFA) provide a promising tool for modeling and clustering high-dimensional data that contain an overwhelmingly large number of attributes measured on individuals arisen from a heterogeneo... 详细信息
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Extending finite mixtures of t linear mixed-effects models with concomitant covariates
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2020年 148卷 106961-000页
作者: Yang, Yu-Chen Lin, Tsung-, I Castro, Luis M. Wang, Wan-Lun Natl Chung Hsing Univ Dept Appl Math Taichung 402 Taiwan Natl Chung Hsing Univ Inst Stat Taichung 402 Taiwan China Med Univ Dept Publ Hlth Taichung 404 Taiwan Pontificia Univ Catolica Chile Dept Stat Casilla 306Correo 22 Santiago Chile Chilean Govt Millennium Nucleus Ctr Discovery Struct Complex D Santiago Chile Pontificia Univ Catolica Chile Ctr Riesgos & Seguros UC Santiago Chile Feng Chia Univ Grad Inst Stat & Actuarial Sci Dept Stat Taichung 40724 Taiwan
The issue of model-based clustering of longitudinal data has attracted increasing attention in past two decades. Finite mixtures of Student's-t linear mixed-effects (FM-tLME) models have been considered for implem... 详细信息
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DYNAMIC MIXTURES OF FACTOR ANALYZERS TO CHARACTERIZE MULTIVARIATE AIR POLLUTANT EXPOSURES
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ANNALS OF APPLIED STATISTICS 2017年 第3期11卷 1617-1648页
作者: Maruotti, Antonello Bulla, Jan Lagona, Francesco Picone, Marco Martella, Francesca Univ Southampton Ctr Innovat & Leadership Hlth Sci Univ Rd Southampton SO17 1BJ Hants England Libera Univ Maria Ss Assunta Dipartimento Sci Econ Polit & Lingue Moderne Via Pompeo Magno 22 I-00192 Rome Italy Univ Bergen Dept Math Allegaten 41 N-5007 Bergen Norway Univ Rome Tre Dipartimento Sci Polit Via Grabriello Chiabrera 199 I-00145 Rome Italy Inst Environm Protect & Res ISPRA Dipartimento Tutela Acque Interne & Marine Via Brancati 48 I-00144 Rome Italy Sapienza Univ Roma Dipartimento Sci Stat Piazzale Aldo Moro 5 I-00185 Rome Italy
The assessment of pollution exposure is based on the analysis of a multivariate time series that include the concentrations of several pollutants as well as the measurements of multiple atmospheric variables. It typic... 详细信息
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A mixture of generalized hyperbolic factor analyzers
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ADVANCES IN DATA ANALYSIS AND CLASSIFICATION 2016年 第4期10卷 423-440页
作者: Tortora, Cristina McNicholas, Paul D. Browne, Ryan P. McMaster Univ Dept Math & Stat Hamilton ON Canada
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 generali... 详细信息
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