单调回归:一种简单快速的O(n) PAVA实现

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Statistical Software Pub Date : 2022-01-01 DOI:10.18637/jss.v102.c01
F. Busing
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引用次数: 3

摘要

单调或等压回归的上下块算法的高效编码和执行顺序的改进导致速度的显着提高以及短而简单的O (n)实现。使用单调回归作为子程序的算法,例如单峰单调回归或二元单调回归,也受益于加速。对当前可用实现的实质性比较和特征描述提供了简单线性有序单调回归的池邻接违反者算法的上下块实现的广泛概述。
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Monotone Regression: A Simple and Fast O(n) PAVA Implementation
Efficient coding and improvements in the execution order of the up-and-down-blocks algorithm for monotone or isotonic regression leads to a significant increase in speed as well as a short and simple O ( n ) implementation. Algorithms that use monotone regression as a subroutine, e.g., unimodal or bivariate monotone regression, also benefit from the acceleration. A substantive comparison with and characterization of currently available implementations provides an extensive overview of up-and-down-blocks implementations for the pool-adjacent-violators algorithm for simple linear ordered monotone regression.
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来源期刊
Journal of Statistical Software
Journal of Statistical Software 工程技术-计算机:跨学科应用
CiteScore
10.70
自引率
1.70%
发文量
40
审稿时长
6-12 weeks
期刊介绍: The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.
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