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检索条件"主题词=EM Algorithms"
56 条 记 录,以下是11-20 订阅
排序:
Demand Estimation with Missingness of Product Availability
Demand Estimation with Missingness of Product Availability
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作者: Saram, Thilini PennState University Libraries
学位级别:Master of Science
Discrete choice models predict the choices among two or more discrete alternatives. We discuss some existing models but focus on the Multinomial Choice Model (MNL) and explain Expectation-Maximization (em) algorithms.... 详细信息
来源: 评论
RATING TRANSITIONS FORECASTING: A FILTERING APPROACH
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International Journal of Theoretical and Applied Finance 2023年 第2-3期26卷 2350009-2350009页
作者: Cousin, Areski Lelong, Jérǒme Picard, Tom Nexialog Consulting 110 Av. de la République Paris 75011 France IRMA UMR 7501 Université de Strasbourg 7 rue René-Descartes 67084 Cedex France Univ. Grenoble Alpes CNRS Grenoble INP LJK Grenoble 38000 France
Analyzing the effect of business cycle on rating transitions has been a subject of great interest these last 15 years, particularly due to the increasing pressure coming from regulators for stress testing. In this pap... 详细信息
来源: 评论
Large-scale estimation of random graph models with local dependence
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2020年 152卷 107029-107029页
作者: Babkin, Sergii Stewart, Jonathan R. Long, Xiaochen Schweinberger, Michael Microsoft Redmond WA USA Florida State Univ Dept Stat Tallahassee FL 32306 USA Rice Univ Dept Stat 6100 Main St Houston TX 77005 USA
A class of random graph models is considered, combining features of exponential-family models and latent structure models, with the goal of retaining the strengths of both of them while reducing the weaknesses of each... 详细信息
来源: 评论
Generalisations of stochastic supervision models
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PATTERN RECOGNITION 2021年 109卷 107575-107575页
作者: Lu, Xiaoou Qiao, Yangqi Zhu, Rui Wang, Guijin Ma, Zhanyu Xue, Jing-Hao UCL Dept Stat Sci London WC1E 6BT England Univ London Fac Actuarial Sci & Insurance Cass Business Sch London EC1Y 8TZ England Univ Kent Sch Math Stat & Actuarial Sci Canterbury CT2 7FS Kent England Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Beijing Univ Posts & Telecommun Pattern Recognit & Intelligent Syst Lab Beijing 100876 Peoples R China
When the labelling information is not deterministic, traditional supervised learning algorithms cannot be applied. In this case, stochastic supervision models provide a valuable alternative to classification. However,... 详细信息
来源: 评论
Statistical inference with incomplete and high-dimensional data - modeling polytraumatized patients: Inférence statistique avec des données incomplètes et de grandes dimensions - modélisation des polytraumatisés graves
Statistical inference with incomplete and high-dimensional d...
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作者: Jiang, Wei Université Paris-Saclay
学位级别:博士
Le problème des données manquantes existe depuis les débuts de l'analyse des données, car les valeurs manquantes sont liées au processus d'obtention et de préparation des donn... 详细信息
来源: 评论
Post-processing Multiensemble Temperature and Precipitation Forecasts Through an Exchangeable Normal-Gamma Model and Its Tobit Extension
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JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS 2019年 第2期24卷 309-345页
作者: Courbariaux, Marie Barbillon, Pierre Perreault, Luc Parent, Eric Univ Paris Saclay INRA AgroParisTech UMR MIA Paris F-75005 Paris France Hydro Quebec Res Inst Varennes PQ Canada
Meteorological ensemble members are a collection of scenarios for future weather issued by a meteorological center. Such ensembles nowadays form the main source of valuable information for probabilistic forecasting wh... 详细信息
来源: 评论
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2020年 151卷 107010-107010页
作者: Philipson, Pete Hickey, Graeme L. Crowther, Michael J. Kolamunnage-Dona, Ruwanthi Newcastle Univ Sch Math Stat & Phys Newcastle Upon Tyne NE1 7RU Tyne & Wear England Univ Liverpool Inst Translat Med Dept Biostat Liverpool Merseyside England Univ Leicester Dept Hlth Sci Biostat Res Grp Leicester Leics England
Quasi-Monte Carlo (QMC) methods using quasi-random sequences, as opposed to pseudo-random samples, are proposed for use in the joint modelling of time-to-event and multivariate longitudinal data. The QMC integration f... 详细信息
来源: 评论
A subjectivity-aware algorithm for label aggregation in crowdsourcing  22
A subjectivity-aware algorithm for label aggregation in crow...
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22nd IEEE International Conference on Computational Science and Engineering (IEEE CSE) / 17th IEEE International Conference on embedded and Ubiquitous Computing (IEEE EUC)
作者: Wu, Ming Li, Qianmu Wang, Shuo Hou, Jun Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Peoples R China Wuyi Univ Intelligent Mfg Dept Jiangmen Peoples R China
Crowdsourcing has already attracted a wide attention in the field of machine learning and its related fields. A large amount of labeled data can be obtained quickly and cheaply on crowdsourcing platforms. To deal with... 详细信息
来源: 评论
Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models
Non-parametric methodologies for reconstruction and estimati...
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作者: Thi Tuyet Trang Chau UNIVERSITE DE RENNES 1
学位级别:博士
The amount of both observational and model- simulated data within the environmental, climate and ocean sciences has grown at an accelerating rate. Observational (e. g. satellite, in-situ...) data are generally accurat... 详细信息
来源: 评论
Flow-Process Foreground Region of Interest Detection Method for Video Codecs
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IEEE ACCESS 2017年 5卷 16263-16276页
作者: Zhang, Zhewei Jing, Tao Han, Jingning Xu, Yaowu Li, Xuejing Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Google Inc Mountain View CA 94043 USA
Detecting the foreground region of interest (ROI) for video sequences is an important issue both for video codecs and monitoring systems. In this paper, we propose a flow-process-based method to detect foreground ROI ... 详细信息
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