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检索条件"主题词=Monte Carlo expectation-maximization algorithm"
13 条 记 录,以下是1-10 订阅
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Model-Based Clustering of Mixed Data With Sparse Dependence
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IEEE ACCESS 2023年 11卷 75945-75954页
作者: Choi, Young-Geun Ahn, Soohyun Kim, Jayoun Sungkyunkwan Univ Dept Math Educ Seoul 03063 South Korea Ajou Univ Dept Math Suwon 16499 Gyeonggi Do South Korea Seoul Natl Univ Hosp Med Res Collaborating Ctr Seoul 03080 South Korea
Mixed data refers to a mixture of continuous and categorical variables. The clustering problem with mixed data is a long-standing statistical problem. The latent Gaussian mixture model, a model-based approach for such... 详细信息
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An approach to model clustered survival data with dependent censoring
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BIOMETRICAL JOURNAL 2020年 第1期62卷 157-174页
作者: Schneider, Silvana Demarqui, Fabio Nogueira Colosimo, Enrico Antonio Mayrink, Vinicius Diniz Univ Fed Rio Grande do Sul Dept Estat Av Bent Goncalves9500 Predio 43-111 Porto Alegre RS Brazil Univ Fed Minas Gerais Dept Estat Belo Horizonte MG Brazil
In this study we introduce a likelihood-based method, via the Weibull and piecewise exponential distributions, capable of accommodating the dependence between failure and censoring times. The methodology is developed ... 详细信息
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Dynamic reliability assessment and prediction for repairable systems with interval-censored data
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RELIABILITY ENGINEERING & SYSTEM SAFETY 2017年 159卷 301-309页
作者: Peng, Yizhen Wang, Yu Zi, YanYang Tsui, Kwok-Leung Zhang, Chuhua Xi An Jiao Tong Univ Sch Mech Engn State Key Lab Mfg & Syst Engn Xian 710049 Peoples R China City Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Hong Kong Peoples R China Xi An Jiao Tong Univ Sch Energy & Power Engn Dept Fluid Machinery & Engn Xian 710049 Peoples R China
The 'Test, Analyze and Fix' process is widely applied to improve the reliability of a repairable system. In this process, dynamic reliability assessment for the system has been paid a great deal of attention. ... 详细信息
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GENERALIZED THEME DICTIONARY MODELS FOR ASSOCIATION PATTERN DISCOVERY
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ANNALS OF APPLIED STATISTICS 2023年 第1期17卷 269-293页
作者: Yang, By yang Deng, K. E. Nankai Univ Sch Stat & Data Sci LPMC & KLMDASR Tianjin Peoples R China Tsinghua Univ Ctr Stat Sci Beijing Peoples R China Tsinghua Univ Dept Ind Engn Beijing Peoples R China
Discovering association patterns of items from a collection of baskets composed of different items is an important problem in various fields. Assum-ing that each basket is composed of themes of items randomly sampled ... 详细信息
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Multivariate claim count regression model with varying dispersion and dependence parameters
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY 2023年 第1期186卷 61-83页
作者: Jeong, Himchan Tzougas, George Fung, Tsz Chai Simon Fraser Univ Dept Stat & Actuarial Sci Burnaby BC Canada Heriot Watt Univ Dept Actuarial Math & Stat Edinburgh Scotland Georgia State Univ Dept Risk Management & Insurance Atlanta GA USA Simon Fraser Univ Dept Stat & Actuarial Sci 8888 Univ Dr Burnaby BC V5A 1S6 Canada
The aim of this paper is to present a regression model for multivariate claim frequency data with dependence structures across the claim count responses, which may be of different sign and range, and overdispersion fr... 详细信息
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Variable selection for joint models of multivariate skew-normal longitudinal and survival data
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STATISTICAL METHODS IN MEDICAL RESEARCH 2023年 第9期32卷 1694-1710页
作者: Tang, Jiarui Tang, An-Min Tang, Niansheng Univ N Carolina Dept Biostat Chapel Hill NC USA Yunnan Univ Yunnan Key Lab Stat Modeling & Data Ana Kunming 650091 Peoples R China
Many joint models of multivariate skew-normal longitudinal and survival data have been presented to accommodate for the non-normality of longitudinal outcomes in recent years. But existing work did not consider variab... 详细信息
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Factor analysis for ranked data with application to a job selection attitude survey
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY 2005年 第3期168卷 583-597页
作者: Yu, PLH Lam, KF Lo, SM Univ Hong Kong Dept Stat & Actuarial Sci Hong Kong Hong Kong Peoples R China
Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applicat... 详细信息
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A MARKOV RANDOM FIELD-BASED APPROACH TO CHARACTERIZING HUMAN BRAIN DEVELOPMENT USING SPATIAL-TEMPORAL TRANSCRIPTOME DATA
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ANNALS OF APPLIED STATISTICS 2015年 第1期9卷 429-451页
作者: Lin, Zhixiang Sanders, Stephan J. Li, Mingfeng Sestan, Nenad State, Matthew W. Zhao, Hongyu Yale Univ Interdept Program Computat Biol & Bioinformat New Haven CT 06511 USA Univ Calif San Francisco Dept Psychiat San Francisco CA 94143 USA Yale Univ Kavli Inst Neurosci Dept Neurobiol New Haven CT 06520 USA Yale Univ Yale Sch Publ Hlth Dept Biostat New Haven CT 06520 USA
Human neurodevelopment is a highly regulated biological process. In this article, we study the dynamic changes of neurodevelopment through the analysis of human brain microarray data, sampled from 16 brain regions in ... 详细信息
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Modeling the random effects covariance matrix for longitudinal data with covariates measurement error
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STATISTICS IN MEDICINE 2018年 第28期37卷 4167-4184页
作者: Hoque, Md Erfanul Torabi, Mahmoud Univ Manitoba Dept Stat Winnipeg MB Canada Univ Manitoba Dept Community Hlth Sci Winnipeg MB R3E 0W3 Canada
Longitudinal data occur frequently in practice such as medical studies and life sciences. Generalized linear mixed models (GLMMs) are commonly used to analyze such data. It is typically assumed that the random effects... 详细信息
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An efficient forward-reverse expectation-maximization algorithm for statistical inference in stochastic reaction networks
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STOCHASTIC ANALYSIS AND APPLICATIONS 2016年 第2期34卷 193-231页
作者: Bayer, Christian Moraes, Alvaro Tempone, Raul Vilanova, Pedro Weierstrass Inst Appl Anal & Stochast Berlin Germany King Abdullah Univ Sci & Technol Comp Elect & Math Sci & Engn Thuwal Saudi Arabia
In this work, we present an extension of the forward-reverse representation introduced by Bayer and Schoenmakers (Annals of Applied Probability, 24(5):1994-2032, 2014) to the context of stochastic reaction networks (S... 详细信息
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