咨询与建议

限定检索结果

文献类型

  • 117 篇 期刊文献
  • 5 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 123 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 98 篇 理学
    • 86 篇 统计学(可授理学、...
    • 27 篇 数学
    • 20 篇 生物学
    • 3 篇 物理学
    • 2 篇 地理学
    • 1 篇 地球物理学
    • 1 篇 系统科学
    • 1 篇 生态学
  • 56 篇 经济学
    • 55 篇 应用经济学
    • 3 篇 理论经济学
  • 24 篇 工学
    • 14 篇 计算机科学与技术...
    • 3 篇 交通运输工程
    • 3 篇 软件工程
    • 2 篇 材料科学与工程(可...
    • 2 篇 电气工程
    • 2 篇 生物工程
    • 1 篇 机械工程
    • 1 篇 仪器科学与技术
    • 1 篇 化学工程与技术
    • 1 篇 农业工程
    • 1 篇 环境科学与工程(可...
  • 15 篇 农学
  • 9 篇 管理学
    • 5 篇 管理科学与工程(可...
    • 4 篇 工商管理
    • 2 篇 公共管理
  • 5 篇 医学
    • 3 篇 基础医学(可授医学...
    • 3 篇 公共卫生与预防医...
  • 4 篇 法学
    • 3 篇 社会学
    • 1 篇 政治学
  • 2 篇 教育学
    • 1 篇 教育学
    • 1 篇 体育学

主题

  • 123 篇 binary regressio...
  • 6 篇 logistic regress...
  • 5 篇 bayesian estimat...
  • 5 篇 bayesian inferen...
  • 4 篇 generalized line...
  • 4 篇 mcmc
  • 4 篇 robustness
  • 4 篇 pooled testing
  • 3 篇 model selection
  • 3 篇 misclassificatio...
  • 3 篇 linear regressio...
  • 3 篇 variable selecti...
  • 3 篇 bayesian statist...
  • 3 篇 odds ratio
  • 3 篇 data augmentatio...
  • 3 篇 random effects
  • 3 篇 markov chain mon...
  • 3 篇 maximum likeliho...
  • 3 篇 gibbs sampling
  • 3 篇 consistency

机构

  • 2 篇 clemson univ dep...
  • 2 篇 univ chicago dep...
  • 2 篇 radford univ dep...
  • 2 篇 iowa state univ ...
  • 2 篇 chung ang univ d...
  • 2 篇 univ massachuset...
  • 2 篇 univ south carol...
  • 2 篇 univ new s wales...
  • 2 篇 n carolina state...
  • 2 篇 univ tasmania me...
  • 2 篇 univ connecticut...
  • 1 篇 chinese acad sci...
  • 1 篇 fisheries & ocea...
  • 1 篇 rice univ dept e...
  • 1 篇 univ queensland ...
  • 1 篇 iowa state univ ...
  • 1 篇 council agr tain...
  • 1 篇 [b] department o...
  • 1 篇 univ bern inst m...
  • 1 篇 tech univ dresde...

作者

  • 4 篇 bazan jorge l.
  • 4 篇 tebbs joshua m.
  • 4 篇 mcmahan christop...
  • 4 篇 bilder christoph...
  • 3 篇 koh yew-meng
  • 3 篇 meeker william q...
  • 3 篇 bolfarine heleno
  • 2 篇 ghosh joyee
  • 2 篇 branco marcia d.
  • 2 篇 choi taeryon
  • 2 篇 mukherjee rajars...
  • 2 篇 copas jb
  • 2 篇 martin j.
  • 2 篇 naranjo l.
  • 2 篇 hui francis k. c...
  • 2 篇 geenens gery
  • 2 篇 li kevin x.
  • 2 篇 diggle pj
  • 2 篇 yin jingbo
  • 2 篇 perez c. j.

语言

  • 113 篇 英文
  • 9 篇 其他
  • 1 篇 荷兰文
检索条件"主题词=binary regression"
123 条 记 录,以下是1-10 订阅
排序:
Regularized robust estimation in binary regression models
收藏 引用
JOURNAL OF APPLIED STATISTICS 2022年 第3期49卷 574-598页
作者: Tang, Qingguo Karunamuni, Rohana J. Liu, Boxiao Nanjing Univ Sci & Technol Sch Econ & Management Nanjing Peoples R China Univ Alberta Dept Math & Stat Sci Edmonton AB T6G 2G1 Canada Bank Montreal Toronto ON Canada
In this paper, we investigate robust parameter estimation and variable selection for binary regression models withgrouped data. We investigate estimation procedures based on the minimum-distance approach. In particula... 详细信息
来源: 评论
Least squares moment identification of binary regression mixture models
收藏 引用
METRIKA 2021年 第4期84卷 561-593页
作者: Auder, Benjamin Gassiat, Elisabeth Loum, Mor Absa Univ Paris Saclay Lab Math Orsay CNRS F-91405 Orsay France
We consider finite mixtures of generalized linear models with binary output. We prove that cross moments (between the output and the regression variables) up to order three are sufficient to identify all parameters of... 详细信息
来源: 评论
Is distribution-free inference possible for binary regression?
收藏 引用
ELECTRONIC JOURNAL OF STATISTICS 2020年 第2期14卷 3487-3524页
作者: Barber, Rina Foygel Univ Chicago Dept Stat Chicago IL 60637 USA
For a regression problem with a binary label response, we examine the problem of constructing confidence intervals for the label probability conditional on the features. In a setting where we do not have any informati... 详细信息
来源: 评论
Integrating random walk and binary regression to identify novel miRNA-disease association
收藏 引用
BMC BIOINFORMATICS 2019年 第1期20卷 1-13页
作者: Niu, Ya-Wei Wang, Guang-Hui Yan, Gui-Ying Chen, Xing Shandong Univ Sch Math Jinan 250100 Shandong Peoples R China Chinese Acad Sci Acad Math & Syst Sci Beijing 100190 Peoples R China China Univ Min & Technol Sch Informat & Control Engn 1 Daxue Rd Xuzhou 221116 Jiangsu Peoples R China
BackgroundIn the last few decades, cumulative experimental researches have witnessed and verified the important roles of microRNAs (miRNAs) in the development of human complex diseases. Benefitting from the rapid grow... 详细信息
来源: 评论
Performance of asymmetric links and correction methods for imbalanced data in binary regression
收藏 引用
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2019年 第9期89卷 1694-1714页
作者: Huayanay, Alex de la Cruz Bazan, Jorge L. Cancho, Vicente G. Dey, Dipak K. USP UFSCar Interinst Grad Stat Sao Carlos SP Brazil Univ Sao Paulo Dept Appl Math & Stat Sao Carlos SP Brazil Univ Connecticut Dept Stat Mansfield CT USA
In binary regression, imbalanced data result from the presence of values equal to zero (or one) in a proportion that is significantly greater than the corresponding real values of one (or zero). In this work, we evalu... 详细信息
来源: 评论
Optimal adaptive inference in random design binary regression
收藏 引用
BERNOULLI 2018年 第1期24卷 699-739页
作者: Mukherjee, Rajarshi Sen, Subhabrata Stanford Univ Dept Stat Sequoia Hall390 Serra Mall Stanford CA 94305 USA
We construct confidence sets for the regression function in nonparametric binary regression with an unknown design density a nuisance parameter in the problem. These confidence sets are adaptive in L-2 loss over a con... 详细信息
来源: 评论
binary quantile regression and variable selection: A new approach
收藏 引用
ECONOMETRIC REVIEWS 2019年 第6期38卷 679-694页
作者: Aristodemou, Katerina He, Jian Yu, Keming Brunel Univ London Uxbridge Middx England Shihezi Univ Shihezi Xinjiang Weiwue Peoples R China
In this paper, we propose a new estimation method for binary quantile regression and variable selection which can be implemented by an iteratively reweighted least square approach. In contrast to existing approaches, ... 详细信息
来源: 评论
How to Take Both Non-Linearity and Asymmetry (Skewness) into Account in binary Decision Making: Skew-Probit and Skew-Logit in binary Kink regression
收藏 引用
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 2020年 第Sup1期28卷 39-49页
作者: Maneejuk, Paravee Chiang Mai Univ Fac Econ Ctr Excellence Econometr Chiang Mai Thailand
In many practical situations, it is desirable to predict binary ("yes"-"no") decisions made by people. The traditional approach to this prediction assumes that the utility linearly depends on the c... 详细信息
来源: 评论
HYPOTHESIS TESTING FOR HIGH-DIMENSIONAL SPARSE binary regression
收藏 引用
ANNALS OF STATISTICS 2015年 第1期43卷 352-381页
作者: Mukherjee, Rajarshi Pillai, Natesh S. Lin, Xihong Stanford Univ Dept Stat Stanford CA 94305 USA Harvard Univ Dept Stat Cambridge MA 01880 USA Harvard Univ Dept Biostat Boston MA 02115 USA
In this paper, we study the detection boundary for minimax hypothesis testing in the context of high-dimensional, sparse binary regression models. Motivated by genetic sequencing association studies for rare variant e... 详细信息
来源: 评论
'Does God toss logistic coins?' and other questions that motivate regression by composition
收藏 引用
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY 2024年 第3期187卷 636-655页
作者: Daniel, Rhian M. Farewell, Daniel M. Huitfeldt, Anders Cardiff Univ Sch Med Div Populat Med Cardiff CF14 4YS Wales Cardiff Univ Sch Med Div Populat Med Cardiff Wales
regression by composition is a new and flexible toolkit for building and understanding statistical models. Focusing here on regression models for a binary outcome conditional on a binary treatment and other covariates... 详细信息
来源: 评论