咨询与建议

限定检索结果

文献类型

  • 1,329 篇 期刊文献
  • 57 篇 会议
  • 37 篇 学位论文
  • 4 篇 资讯
  • 1 册 图书

馆藏范围

  • 1,428 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,062 篇 理学
    • 681 篇 统计学(可授理学、...
    • 319 篇 生物学
    • 292 篇 数学
    • 130 篇 生态学
    • 34 篇 地球物理学
    • 23 篇 大气科学
    • 22 篇 地理学
    • 20 篇 海洋科学
    • 13 篇 物理学
  • 456 篇 工学
    • 206 篇 计算机科学与技术...
    • 109 篇 环境科学与工程(可...
    • 39 篇 电气工程
    • 29 篇 水利工程
    • 25 篇 控制科学与工程
    • 19 篇 土木工程
    • 17 篇 交通运输工程
    • 17 篇 安全科学与工程
    • 16 篇 软件工程
  • 389 篇 经济学
    • 359 篇 应用经济学
    • 55 篇 理论经济学
  • 232 篇 农学
    • 33 篇 水产
    • 19 篇 林学
  • 174 篇 医学
    • 92 篇 基础医学(可授医学...
    • 84 篇 公共卫生与预防医...
    • 41 篇 临床医学
  • 164 篇 管理学
    • 90 篇 管理科学与工程(可...
    • 57 篇 公共管理
    • 24 篇 工商管理
  • 28 篇 教育学
    • 26 篇 心理学(可授教育学...
  • 21 篇 法学
    • 18 篇 社会学
  • 2 篇 军事学
  • 1 篇 文学
  • 1 篇 历史学

主题

  • 1,428 篇 generalized line...
  • 61 篇 logistic regress...
  • 34 篇 variable selecti...
  • 33 篇 generalized addi...
  • 28 篇 em algorithm
  • 28 篇 overdispersion
  • 26 篇 regression
  • 25 篇 quasi-likelihood
  • 22 篇 model selection
  • 22 篇 climate change
  • 22 篇 maximum likeliho...
  • 21 篇 bootstrap
  • 21 篇 longitudinal dat...
  • 20 篇 prediction
  • 20 篇 poisson regressi...
  • 20 篇 maximum likeliho...
  • 20 篇 lasso
  • 18 篇 survival analysi...
  • 17 篇 generalized line...
  • 16 篇 measurement erro...

机构

  • 14 篇 texas a&m univ d...
  • 9 篇 univ florida dep...
  • 8 篇 univ connecticut...
  • 6 篇 princeton univ d...
  • 5 篇 seoul natl univ ...
  • 5 篇 univ waterloo de...
  • 5 篇 natl tech univ a...
  • 5 篇 northwestern uni...
  • 5 篇 columbia univ de...
  • 5 篇 univ south carol...
  • 4 篇 florida state un...
  • 4 篇 arizona state un...
  • 4 篇 med coll wiscons...
  • 4 篇 univ aegean dept...
  • 4 篇 stanford univ de...
  • 4 篇 univ fed pernamb...
  • 4 篇 harvard univ sch...
  • 4 篇 univ london impe...
  • 4 篇 univ calif los a...
  • 4 篇 univ minnesota s...

作者

  • 13 篇 fokianos konstan...
  • 9 篇 carroll raymond ...
  • 7 篇 koukouvinos c.
  • 7 篇 carroll rj
  • 6 篇 myers rh
  • 5 篇 fried roland
  • 5 篇 tsou tsung-shan
  • 5 篇 goethals peter l...
  • 5 篇 fan jianqing
  • 5 篇 yan li
  • 5 篇 warton david i.
  • 5 篇 tanner ma
  • 5 篇 cordeiro gm
  • 5 篇 chen xia
  • 5 篇 hardin james w.
  • 5 篇 paula ga
  • 4 篇 lee youngjo
  • 4 篇 haberman s.
  • 4 篇 bernhard schölko...
  • 4 篇 tutz g

语言

  • 1,297 篇 英文
  • 126 篇 其他
  • 3 篇 德文
  • 2 篇 法文
  • 2 篇 葡萄牙文
  • 2 篇 中文
  • 1 篇 俄文
检索条件"主题词=Generalized Linear Models"
1428 条 记 录,以下是11-20 订阅
排序:
generalized linear models for symbolic polygonal data
收藏 引用
KNOWLEDGE-BASED SYSTEMS 2024年 290卷
作者: do Nascimento, Rafaella L. S. de Souza, Renata M. C. R. Cysneiros, Francisco Jose de A. Univ Fed Pernambuco Ctr Informat Recife Brazil Univ Fed Pernambuco Dept Estat Recife Brazil
Symbolic data analysis data has provided several advances in regression models concerning the type of symbolic variable. Due to the advantages of using symbolic polygonal data, this paper introduces a linear regressio... 详细信息
来源: 评论
Transfer Learning Under High-Dimensional generalized linear models
收藏 引用
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 2023年 第544期118卷 2684-2697页
作者: Tian, Ye Feng, Yang Columbia Univ Dept Stat New York NY USA NYU Sch Global Publ Hlth Dept Biostat New York NY 10012 USA
In this work, we study the transfer learning problem under high-dimensional generalized linear models (GLMs), which aim to improve the fit on target data by borrowing information from useful source data. Given which s... 详细信息
来源: 评论
A general adaptive ridge regression method for generalized linear models: an iterative re-weighting approach
收藏 引用
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
来源: 评论
Distributed adaptive lasso penalized generalized linear models for big data
收藏 引用
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2023年 第4期52卷 1679-1698页
作者: Fan, Ye Fan, Suning Cent Univ Finance & Econ Sch Stat & Math Beijing 100081 Peoples R China Shanxi Univ Sch Math Sci Taiyuan Peoples R China
Adaptive lasso penalized generalized linear models (GLMs) are a powerful tool for analyzing the high-dimensional sparse data where the classical linear or normal assumption is not met. In non-distributed environments,... 详细信息
来源: 评论
Large-Scale generalized linear models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity
收藏 引用
JOURNAL OF BUSINESS & ECONOMIC STATISTICS 2023年 第3期41卷 983-994页
作者: Ando, Tomohiro Bai, Jushan Univ Melbourne Melbourne Business Sch 200 Leicester St Carlton Vic 3053 Australia Columbia Univ Dept Econ New York NY 10027 USA
This article provides methods for flexibly capturing unobservable heterogeneity from longitudinal data in the context of an exponential family of distributions. The group memberships of individual units are left unspe... 详细信息
来源: 评论
Penalized empirical likelihood for high-dimensional generalized linear models with longitudinal data
收藏 引用
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2023年 第10期93卷 1515-1531页
作者: Chen, Xia Tan, Xiaoyan Yan, Li Shaanxi Normal Univ Sch Math & Stat Xian 710119 Peoples R China
In this paper, we consider the application of penalized empirical likelihood to the high-dimensional generalized linear models with longitudinal data. Under regular conditions, it is shown that the penalized empirical... 详细信息
来源: 评论
Online inference in high-dimensional generalized linear models with streaming data
收藏 引用
ELECTRONIC JOURNAL OF STATISTICS 2023年 第2期17卷 3443-3471页
作者: Luo, Lan Han, Ruijian Lin, Yuanyuan Huang, Jian Rutgers Sch Publ Hlth Dept Biostat & Epidemiol Piscataway NJ USA Hong Kong Polytech Univ Dept Appl Math Hong Kong Peoples R China Chinese Univ Hong Kong Dept Stat Hong Kong Peoples R China
In this paper we develop an online statistical inference approach for high-dimensional generalized linear models with streaming data for realtime estimation and inference. We propose an online debiased lasso method th... 详细信息
来源: 评论
Model misspecification and robust analysis for outcome-dependent sampling designs under generalized linear models
收藏 引用
STATISTICS IN MEDICINE 2023年 第9期42卷 1338-1352页
作者: Maronge, Jacob M. Schildcrout, Jonathan S. Rathouz, Paul J. Univ Texas Dept Biostat MD Anderson Canc Ctr Houston TX USA Vanderbilt Univ Dept Biostat Med Ctr Nashville TN USA Univ Texas Austin Dept Populat Hlth Med Sch Austin TX USA Univ Texas Dept Biostat MD Anderson Canc Ctr 1400 Pressler St Houston TX 77030 USA
Outcome-dependent sampling (ODS) is a commonly used class of sampling designs to increase estimation efficiency in settings where response information (and possibly adjuster covariates) is available, but the exposure ... 详细信息
来源: 评论
Efficient multiple change point detection for high-dimensional generalized linear models
收藏 引用
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 2023年 第2期51卷 596-629页
作者: Wang, Xianru Liu, Bin Zhang, Xinsheng Liu, Yufeng Fudan Univ Sch Management Dept Stat & Data Sci Shanghai Peoples R China Univ N Carolina Carolina Ctr Genome Sci Linberger Comprehens Canc Ctr Dept Stat & Operat ResDept GenetDept Biostat Chapel Hill NC 27515 USA
Change point detection for high-dimensional data is an important yet challenging problem for many applications. In this article, we consider multiple change point detection in the context of high-dimensional generaliz... 详细信息
来源: 评论
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models
收藏 引用
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 2023年 第1期51卷 199-215页
作者: Gavanji, Parisa Jiang, Wenyu Chen, Bingshu E. Queens Univ Dept Math & Stat Kingston ON Canada Queens Univ Dept Publ Hlth Sci Kingston ON Canada Queens Univ Canadian Canc Trials Grp Kingston ON Canada
In a clinical trial, the responses to the new treatment may vary among patient subsets with different characteristics in a biomarker. It is often necessary to examine whether there is a cutpoint for the biomarker that... 详细信息
来源: 评论