PLS for Big Data: A unified parallel algorithm for regularised group PLS-Reference-Cited by-同舟云学术

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PLS for Big Data: A unified parallel algorithm for regularised group PLS

Published:2019-01-01 Issue:none Volume:13 Page:
ISSN:1935-7516
Container-title:Statistics Surveys
language:
Short-container-title:Statist. Surv.

Author:

Lafaye de Micheaux Pierre,Liquet Benoît,Sutton Matthew

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.ssu/1567411220

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Cell Culture Factors Influencing Afucosylation Levels in Monoclonal Antibodies by Partial Least-Squares Regression and Variable Importance Metrics;Processes;2023-01-10

2. Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models;Frontiers in Big Data;2021-11-01

3. Analysing spectroscopy data using two-step group penalized partial least squares regression;Environmental and Ecological Statistics;2021-04-19

4. State of art of PLS Regression for non quantitative data and in Big Data context;The 4th International Conference on Networking, Information Systems amp Security.;2021-04

5. Penalized partial least squares for pleiotropy;BMC Bioinformatics;2021-02-24

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