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检索条件"主题词=Generalized Linear Models"
1424 条 记 录,以下是1-10 订阅
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generalized linear models in Non-interactive Local Differential Privacy with Public Data
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JOURNAL OF MACHINE LEARNING RESEARCH 2023年 第1期24卷 1-57页
作者: Wang, Di Hu, Lijie Zhang, Huanyu Gaboardi, Marco Xu, Jinhui King Abdullah Univ Sci & Technol CEMSE Thuwal Saudi Arabia Meta New York NY USA Boston Univ Dept Comp Sci Boston MA 02215 USA SUNY Buffalo Dept Comp Sci & Engn Buffalo NY 14260 USA
In this paper, we study the problem of estimating smooth generalized linear models (GLMs) in the Non-interactive Local Differential Privacy (NLDP) model. Unlike its classical setting, our model allows the server to ac... 详细信息
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generalized linear models for massive data via doubly-sketching
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STATISTICS AND COMPUTING 2023年 第5期33卷 1-19页
作者: Hou-Liu, Jason Browne, Ryan P. Univ Waterloo Dept Stat & Actuarial Sci 200 Univ Ave West Waterloo ON N2L 3G1 Canada
generalized linear models are a popular analytics tool with interpretable results and broad applicability, but require iterative estimation procedures that impose data transfer and computational costs that can be prob... 详细信息
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A binarization approach to model interactions between categorical predictors in generalized linear models
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APPLIED INTELLIGENCE 2024年 第17-18期54卷 7969-7981页
作者: Carrizosa, Emilio Restrepo, Marcela Galvis Morales, Dolores Romero Univ Seville Inst Matemat Seville Spain Copenhagen Metropolitan Area DEAS Grp Frederiksberg Denmark Copenhagen Business Sch Frederiksberg Denmark
In this paper, our goal is to enhance the interpretability of generalized linear models by identifying the most relevant interactions between categorical predictors. Searching for interaction effects can quickly becom... 详细信息
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Power analysis for zero-inflated Poisson and negative binomial generalized linear models using Monte Carlo simulation
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2025年 第4期95卷 868-885页
作者: Dennis, Trent Rubin-McGregor, Jordan O'Connell, Michael J. Miami Univ Dept Stat 105 Tallawanda Rd Oxford OH 45056 USA Miami Univ Dept Psychol Oxford OH USA
Many research fields involve count data with zero inflation. A commonly chosen model for analysing a relationship between predictors and a response variable in these scenarios is a zero-inflated generalized linear mod... 详细信息
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Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2025年 第6期95卷 1226-1249页
作者: Scholz, Maximilian Buerkner, Paul-Christian Univ Stuttgart Cluster Excellence SimTech Univ Str 32 D-70569 Stuttgart Germany
Bayesian modeling provides a principled approach to quantifying uncertainty and has seen a surge of applications in recent years. Within the context of a Bayesian workflow, we are concerned with model selection for th... 详细信息
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Distributed variable screening for generalized linear models
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2025年 211卷
作者: Diao, Tianbo Li, Bo Qu, Lianqiang Sun, Liuquan Cent China Normal Univ Sch Math & Stat Wuhan 430079 Hubei Peoples R China Nanyang Inst Technol Sch Math & Sci Nanyang 473004 Henan Peoples R China Chinese Acad Sci Acad Math & Syst Sci Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Math Sci Beijing 100190 Peoples R China
In this article, we develop a distributed variable screening method for generalized linear models. This method is designed to handle situations where both the sample size and the number of covariates are large. Specif... 详细信息
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Penalized Lq-likelihood estimator and its influence function in generalized linear models
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METRIKA 2025年 第1期88卷 1-18页
作者: Hu, Hongchang Liu, Mingqiu Zeng, Zhen Hubei Normal Univ Sch Math & Stat Huangshi 435002 Peoples R China Nanjing Univ Finance & Econ Dept Appl Math Nanjing 210023 Peoples R China
Consider the following generalized linear model (GLM) yi = h(x(i)(T) beta) + e(i), i = 1, 2,..., n, where h(.) is a continuous differentiable function, {e(i)} are independent identically distributed (i.i.d.) random va... 详细信息
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Decorrelated empirical likelihood for generalized linear models with high-dimensional longitudinal data
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STATISTICS & PROBABILITY LETTERS 2024年 211卷
作者: Geng, Shuli Zhang, Lixin Zhejiang Univ Sch Math Sci Hangzhou 31000 ZJ Peoples R China
This paper focuses on decorrelated empirical likelihood -based inference for longitudinal data with ultrahigh -dimensional covariates. The primary issues we aim to address involve parameter estimation and hypothesis t... 详细信息
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Outcome dependent subsampling divide and conquer in generalized linear models for massive data
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JOURNAL OF STATISTICAL PLANNING AND INFERENCE 2025年 237卷
作者: Yin, Jie Ding, Jieli Yang, Changming Wuhan Univ Sch Math & Stat Wuhan 430072 Hubei Peoples R China BeiGene Beijing Co Ltd Wuhan Branch Wuhan 430000 Hubei Peoples R China
In order to break the constraints and barriers caused by limited computing power in processing massive datasets, we propose an outcome dependent subsampling divide and conquer strategy in this paper. The proposed stra... 详细信息
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generalized case-control sampling under generalized linear models
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BIOMETRICS 2023年 第1期79卷 332-343页
作者: Maronge, Jacob M. Tao, Ran Schildcrout, Jonathan S. Rathouz, Paul J. Univ Texas MD Anderson Canc Ctr Dept Biostat Houston TX 77030 USA Vanderbilt Univ Med Ctr Dept Biostat Nashville TN USA Vanderbilt Univ Vanderbilt Genet Inst Med Ctr Nashville TN USA Univ Texas Austin Med Sch Dept Populat Hlth Austin TX 78712 USA
A generalized case-control (GCC) study, like the standard case-control study, leverages outcome-dependent sampling (ODS) to extend to nonbinary responses. We develop a novel, unifying approach for analyzing GCC study ... 详细信息
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