Robust reduced-rank modeling via rank regression
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2016.08.009
Abstract: Abstract There are many applications in which several response variables are predicted with a common set of predictors. To take into account the possible correlations among the responses, estimators with restricted rank were introduced. However,… read more here.
Keywords: reduced rank; regression; via rank; rank regression ... See more keywords
Collaborative Multiple Rank Regression for Temperature Prediction of Blast Furnace
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DOI: 10.1109/tim.2022.3180408
Abstract: The hearth temperature is the main factor to affect the performance of a blast furnace (BF) such as heat transfer, mass transfer and reduction, desulfurization, and pig iron composition. Therefore, the hearth temperature must be… read more here.
Keywords: rank regression; blast furnace; regression; temperature ... See more keywords
Dietary Patterns Derived from Reduced Rank Regression Are Associated with the 5-Year Occurrence of Metabolic Syndrome: Aichi Workers’ Cohort Study
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DOI: 10.3390/nu14153019
Abstract: The aim of the present study was to derive dietary patterns to explain variation in a set of nutrient intakes or in the measurements of waist circumference (WC) and fasting blood glucose (FBG) using reduced… read more here.
Keywords: dietary patterns; rank regression; reduced rank; metabolic syndrome ... See more keywords
Robust Sparse Reduced-Rank Regression with Response Dependency
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DOI: 10.3390/sym14081617
Abstract: In multiple response regression, the reduced rank regression model is an effective method to reduce the number of model parameters and it takes advantage of interrelation among the response variables. To improve the prediction performance… read more here.
Keywords: rank regression; regression; reduced rank; sparse ... See more keywords
[Introduction of reduced rank regression and development of a user-written Stata package].
Sign Up to like & getrecommendations! Published in 2022 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"
DOI: 10.3760/cma.j.cn112338-20210222-00136
Abstract: Reduced rank regression is an extended multivariate linear regression model with the function of dimension reduction. It has been more and more widely used in nutritional epidemiology research to understand people's dietary patterns in recent… read more here.
Keywords: rank regression; regression; reduced rank; stata package ... See more keywords