Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-02-11 DOI:10.1080/02664763.2024.2315467

Junhao Shan, Lei Wang

引用次数: 0

Abstract

For high-dimensional generalized linear models (GLMs) with massive data, this paper investigates a unified optimal Poisson subsampling scheme to conduct estimation and inference for prespecified lo...

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高维广义线性模型的最佳泊松子采样装饰得分

对于具有海量数据的高维广义线性模型（GLMs），本文研究了一种统一的最优泊松子抽样方案，以对预先指定的海量数据进行估计和推断。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.