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检索条件"主题词=Generalized Linear Models"
1428 条 记 录,以下是61-70 订阅
排序:
A general adaptive ridge regression method for generalized linear models: an iterative re-weighting approach
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2023年 第18期52卷 6420-6443页
作者: Guo, Zijun Chen, Mengxing Fan, Yali Song, Yan Univ Shanghai Sci & Technol Coll Sci Shanghai 200093 Peoples R China Univ Shanghai Sci & Technol Dept Control Sci & Engn Shanghai Peoples R China
This article is concerned with the problem of variable selection and estimation for high dimensional generalized linear models. In this article, we introduce a general iteratively reweighted adaptive ridge regression ... 详细信息
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Adaptive Lasso for generalized linear models with a diverging number of parameters
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2017年 第23期46卷 11826-11842页
作者: Cui, Yan Chen, Xia Yan, Li Shaanxi Normal Univ Sch Math & Informat Sci Xian 710119 Shaanxi Peoples R China
In this paper, we study the asymptotic properties of the adaptive Lasso estimators in high-dimensional generalized linear models. The consistency of the adaptive Lasso estimator is obtained. We show that, if a reasona... 详细信息
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Statistical inference methods and applications of outcome-dependent sampling designs under generalized linear models
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Science China Mathematics 2017年 第7期60卷 1219-1238页
作者: YAN Shu DING JieLi LIU YanYan School of Mathematics and Statistics Wuhan University Wuhan 430072 China
A cost-effective sampling design is desirable in large cohort studies with a limited budget due to the high cost of measurements of primary exposure *** outcome-dependent sampling(ODS) designs enrich the observed samp... 详细信息
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Reduced-rank vector generalized linear models with two linear predictors
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2014年 71卷 889-902页
作者: Yee, Thomas W. Univ Auckland Dept Stat Auckland 1142 New Zealand
Vector generalized linear models (VGLMs) as implemented in the VGAM R package permit multiple parameters to depend (via inverse link functions) on linear predictors. However it is often the case that one wishes differ... 详细信息
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Asymptotic Properties of Maximum Quasi-Likelihood Estimates in generalized linear models with "Working" Covariance Matrix and Adaptive Designs
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2012年 第19期41卷 3544-3561页
作者: Gao, Qi-Bing Lin, Jin-Guan Zhu, Chun-Hua Wu, Yao-Hua Southeast Univ Dept Math Nanjing 210096 Jiangsu Peoples R China Nanjing Normal Univ Sch Math Sci Nanjing Jiangsu Peoples R China Nanjing Audit Univ Dept Stat Nanjing Jiangsu Peoples R China Univ Sci & Technol China Dept Stat & Finance Hefei 230026 Peoples R China
In this article, for the generalized linear models (GLMs) with "working" covariance matrix and adaptive designs, we develop the asymptotic properties of maximum quasi-likelihood estimators (MQLEs) under some... 详细信息
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Advantages of combining generalized linear models and occupancy models to find indicators of habitat selection: Small mammals in agroecosystems as a case study
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ECOLOGICAL INDICATORS 2018年 85卷 1-10页
作者: Gorosito, Irene L. Marziali Bermudez, Mariano Busch, Maria Univ Buenos Aires Fac Ciencias Exactas & Nat Dept Ecol Genet & Evolut Buenos Aires DF Argentina Univ Buenos Aires Consejo Nacl Invest Cient & Tecn Inst Ecol Genet & Evolut Buenos Aires Intendente Guiraldes 2160 Ciudad UnivC1428EGA Buenos Aires DF Argentina Univ Buenos Aires Fac Ciencias Exactas & Nat Dept Fis Buenos Aires DF Argentina Univ Buenos Aires Consejo Nacl Invest Cient & Tecn Inst Fis Buenos Aires Intendente Guiraldes 2160 Ciudad UnivC1428EGA Buenos Aires DF Argentina
models of habitat variables can be used to find indicators for a quantitative prediction of the likeliness of species occurrence or abundance. Methodological bias due to variable detectability can be critical to prope... 详细信息
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Asymptotic Properties of Quasi-Maximum Likelihood Estimates in generalized linear models
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2011年 第24期40卷 4417-4430页
作者: Zhang, Sanguo Liao, Yuan Ning, Wei Chinese Acad Sci Grad Univ Beijing 100049 Peoples R China Bowling Green State Univ Dept Math & Stat Bowling Green OH 43403 USA
In this article, we consider the quasi-likelihood equation Sigma(n)(i=1) X-i(y(i) - mu(X-i'beta)) = 0 for generalized linear models (GLMs). Under some mild conditions, including the convergent system {e(i) = y(i) ... 详细信息
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Collaborative filtering with interlaced generalized linear models
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NEUROCOMPUTING 2008年 第7-9期71卷 1300-1310页
作者: Delannay, Nicolas Verleysen, Michel Catholic Univ Louvain Machine Learning Grp DICE B-1348 Louvain Belgium
Collaborative filtering (CF) is a data analysis task appearing in many challenging applications, in particular data mining in Internet and e-commerce. CF can often be formulated as identifying patterns in a large and ... 详细信息
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Rate of strong consistency of quasi maximum likelihood estimate in generalized linear models
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Science China Mathematics 2004年 第6期47卷 882-893页
作者: YUE Li & CHEN Xiru School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China Graduate School, Chinese Academy of Sciences, Beijing 100039, China 1. School of Mathematics and Statistics Wuhan University 430072 Wuhan China 2. Graduate School Chinese Academy of Sciences 100039 Beijing China
Under the assumption that in the generalized linear model (GLM) the expectation of the response variable has a correct specification and some other smooth conditions, it is shown that with probability one the quasi-li... 详细信息
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Overlapping group lasso for high-dimensional generalized linear models
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2019年 第19期48卷 4903-4917页
作者: Zhou, Shengbin Zhou, Jingke Zhang, Bo Harbin Normal Univ Dept Stat Harbin Heilongjiang Peoples R China Lingnan Normal Univ Sch Informat Engn 29 Cunjin Rd Zhanjiang Guangdong Peoples R China
Structured sparsity has recently been a very popular technique to deal with the high-dimensional data. In this paper, we mainly focus on the theoretical problems for the overlapping group structure of generalized line... 详细信息
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