Improved estimation of functional enrichment in SNP heritability using feasible generalized least squares [PDF]
HGG AdvancesSummary: Functional enrichment results typically implicate tissue or cell-type-specific biological pathways in disease pathogenesis and as therapeutic targets.
Zewei Xiong +3 more
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Understanding Peelle’s Pertinent Puzzle bias in generalized least squares regression through eigenspectrum analysis [PDF]
Scientific ReportsCertain correlation structures in the data covariance matrix (DCM) used for generalized least squares (GLS) regression can result in biased estimates, commonly known in the field of nuclear data evaluation as Peele’s Pertinent Puzzle (PPP).
Noah A. W. Walton +5 more
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GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares [PDF]
Journal of Statistical Software, 2008 The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature.
Sarah J. Ratcliffe, Justine Shults
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Kernel generalized least squares regression for network-structured data [PDF]
PLoS ONEEdward Antonian +2 more
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New Developments in Sparse PLS Regression
Frontiers in Applied Mathematics and Statistics, 2021 Methods based on partial least squares (PLS) regression, which has recently gained much attention in the analysis of high-dimensional genomic datasets, have been developed since the early 2000s for performing variable selection.
Jérémy Magnanensi +6 more
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Markdown Optimization with Generalized Weighted Least Squares Estimation
International Journal of Computational Intelligence Systems, 2022 Retailers increasingly apply price markdowns for their seasonal products. Efficiency of these markdown applications is driven by the accuracy of empirical models, especially toward the end of a selling season.
Mustafa Hekimoğlu
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Factor Analysis by Generalized Least Squares [PDF]
Psychometrika, 1971 Aitken’s generalized least squares (GLS) principle, with the inverse of the observed variance-covariance matrix as a weight matrix, is applied to estimate the factor analysis model in the exploratory (unrestricted) case. It is shown that the GLS estimates are scale free and asymptotically efficient.
Jöreskog, Karl G. +1 more
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A Generalized Variable Projection Algorithm for Least Squares Problems in Atmospheric Remote Sensing
Mathematics, 2023 This paper presents a solution for efficiently and accurately solving separable least squares problems with multiple datasets. These problems involve determining linear parameters that are specific to each dataset while ensuring that the nonlinear ...
Adelina Bärligea +2 more
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Revstat Statistical Journal, 2015 Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity and/or correction problems and
Yeliz Mert Kantar
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Comparison of straight line curve fit approaches for determining parameter variances and covariances
International Journal of Metrology and Quality Engineering, 2020 Pressure balances are known to have a linear straight line equation of the form y = ax + b that relates the applied pressure x to the effective area y, and recent work has investigated the use of Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
Ramnath Vishal
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