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检索条件"主题词=em algorithm"
4573 条 记 录,以下是241-250 订阅
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Gaussian Mixture Model Uncertainty Modeling for Power Systems Considering Mutual Assistance of Latent Variables
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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2025年 第2期16卷 1483-1486页
作者: Yang, Xiao Li, Yuanzheng Zhao, Yong Li, Yang Hao, Guokai Wang, Yan-Wu Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Informat Proc & Intelligent Control Minist Educ China Wuhan 430074 Peoples R China Northeast Elect Power Univ Sch Elect Engn Jilin 132000 Peoples R China Hong Kong Univ Sci & Technol Dept Civil & Environm Engn Hong Kong Peoples R China
Gaussian mixture model (GMM) and Dirichlet process mixture model (DPMM) are the primary techniques used to characterize uncertainties in power systems, which are commonly solved by expectation-maximization (em) algori... 详细信息
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Joint modeling of multistate survival processes with informative examination scheme: application to progressions in diabetes
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BMC MEDICAL RESEARCH METHODOLOGY 2025年 第1期25卷 1-17页
作者: Zhu, Yuxi Joseph, Joshua J. Thomas, Neena Li, Lang Brock, Guy Ohio State Univ Coll Publ Hlth Div Biostat Columbus OH 43210 USA Ohio State Univ Coll Med Dept Biomed Informat Columbus OH 43210 USA Univ Hosp Rainbow Babies & ChildrenS Hosp Dept Pediat Cleveland OH 44106 USA Ohio State Univ Coll Med Div Endocrinol Diabet & Metab Columbus OH USA
BackgroundMultistate survival models (MSMs) are widely used in the medical field of clinical studies. For example, in type 2 diabetes mellitus (T2D), these models can be applied to describe progression in T2D by prede... 详细信息
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Multivariate count time series segmentation with "sums and shares" and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub
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ADVANCES IN DATA ANALYSIS AND CLASSIFICATION 2024年 第2期18卷 455-491页
作者: de Nailly, Paul Come, Etienne Oukhellou, Latifa Same, Allou Ferriere, Jacques Merad-Boudia, Yasmine Univ Gustave Eiffel Cosys Grettia Descartes Blvd Newton F-77454 Champs Sur Marne Marne France RATP EDT 54 Quai Rapee F-75012 Paris France
This paper deals with a clustering approach based on mixture models to analyze multidimensional mobility count time-series data within a multimodal transport hub. These time series are very likely to evolve depending ... 详细信息
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Robust mixture of regression models using the symmetric α-stable distribution
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COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2024年
作者: Zarei, Shaho Univ Kurdistan Fac Sci Dept Stat Sanandaj Iran
The traditional estimation of mixture regression models is based on the assumption of normal error components, making it susceptible to outliers or heavy-tailed errors. A new robust mixture regression model based on t... 详细信息
来源: 评论
Robust variable selection in semiparametric mixed effects longitudinal data models
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2024年 第3期53卷 1049-1064页
作者: Sun, Huihui Liu, Qiang Capital Univ Econ & Business Sch Stat Beijing 10007D Peoples R China Yancheng Teachers Univ Sch Math & Stat Yancheng Peoples R China
In this paper, we present a robust joint variable selection procedure for fixed and random effects in semiparametric linear mixed effects model for longitudinal data. Our simultaneous selection method overcomes the de... 详细信息
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A Novel Approach for Biclustering Bipartite Networks: An Extension of Finite Mixtures of Latent Trait Analyzers
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JOURNAL OF CLASSIFICATION 2025年 1-25页
作者: Failli, Dalila Marino, Maria Francesca Martella, Francesca Univ Perugia Dipartimento Sci Polit Via Pascoli 20 I-06123 Perugia Italy Univ Firenze Dipartimento Stat Informat Applicaz Viale Morgagni 59 I-50134 Florence Italy Sapienza Univ Roma Dipartimento Sci Stat Piazzale Aldo Moro 5 I-00185 Rome Italy
In the context of network data, bipartite networks are of particular interest, as they provide a useful description of systems representing relationships between sending and receiving nodes. In this framework, we exte... 详细信息
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Hidden semi-Markov models for rainfall-related insurance claims
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INSURANCE MATHemATICS & ECONOMICS 2025年 120卷 91-106页
作者: Shi, Yue Punzo, Antonio Otneim, Hakon Maruotti, Antonello Norwegian Sch Econ Dept Business & Management Sci Oslo Norway Univ Catania Dept Econ & Business Catania Italy LUMSA Univ Dept GEPLI Rome Italy
We analyze the temporal structure of a novel insurance dataset about home insurance claims related to rainfall- induced damage in Norway and employ a hidden semi-Markov model (HSMM) to capture the non-Gaussian nature ... 详细信息
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Estimation of stress-strength reliability for the generalized inverted exponential distribution based on improved adaptive Type-II progressive censoring
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COMPUTATIONAL STATISTICS 2025年 1-37页
作者: Swaroop, Chatany Dutta, Subhankar Saini, Shubham Tiwari, Neeraj Soban Singh Jeena Univ Dept Stat Almora 263601 Uttarakhand India Maulana Azad Natl Inst Technol Dept Math Bioinformat & Comp Applicat Bhopal 462003 Madhya Pradesh India Chaudhary Charan Singh Univ Dept Stat Meerut 250004 India
This study aims to estimate the reliability of a stress-strength system using the generalized inverted exponential distribution (GIED). We achieve this by employing an improved adaptive Type-II progressive censoring s... 详细信息
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Random change point model with an application to the China Household Finance Survey
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Science China Mathematics 2024年 第10期67卷 2373-2386页
作者: Meng Li Lingxi Gao Guangming Lv Xingwei Tong School of Statistics Beijing Normal UniversityBeijing 100875China
We consider a linear model with a change point according to the unknown random threshold of a covariate. We give the expectation-maximization(em) estimations of the regression and change point parameters. The existenc... 详细信息
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Classical and Bayesian inferences for two Topp-Leone models under joint progressive Type-II censoring
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COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2024年 第1期53卷 427-445页
作者: Bayoud, Husam A. Raqab, Mohammad Z. Fahad Bin Sultan Univ Coll Sci & Humanities Tabuk 71454 Saudi Arabia Kuwait Univ Dept Stat & Operat Res Safat Kuwait Univ Jordan Dept Math Amman Jordan
Recently, the progressive Type-II censoring has been extended to a more general censoring scheme, called joint progressive Type-II censoring, which studies the lifetimes of two or more populations simultaneously. In t... 详细信息
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