Results 21 to 30 of about 1,596,868 (270)
Robust regression for large-scale neuroimaging studies [PDF]
, 2015 Multi-subject datasets used in neuroimaging group studies have a complex structure, as they exhibit non-stationary statistical properties across regions and display various artifacts.
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Robust Multivariate Regression
Technometrics, 2004 We introduce a robust method for multivariate regression based on robust estimation of the joint location and scatter matrix of the explanatory and response variables. As a robust estimator of location and scatter, we use the minimum covariance determinant (MCD) estimator of Rousseeuw.
Rousseeuw, Peter +3 more
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Robust nonparametric estimation via wavelet median regression [PDF]
, 2008 In this paper we develop a nonparametric regression method that is simultaneously adaptive over a wide range of function classes for the regression function and robust over a large collection of error distributions, including those that are heavy-tailed,
Brown, Lawrence D. +2 more
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The Construction of Efficient Portfolios: A Verification of Risk Models for Investment Making
Frontiers in Applied Mathematics and Statistics, 2020 Various statistical models have been used in estimating inputs to mean-variance efficient portfolio construction since the mid-1960s. One can argue how many factors are necessary, but there appears to be substantial evidence that statistical models ...
Mustafa N. Gültekin +2 more
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Significance Regression: Robust Regression for Collinear Data [PDF]
, 1993 This paper examines robust linear multivariable regression from collinear data. A brief review of M-estimators discusses the strengths of this approach for tolerating outliers and/or perturbations in the error distributions.
Holcomb, Tyler R., Morari, Manfred
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Estimating a unit price for roads maintenance activities using exponential robust regression
Journal of Civil Engineering and Management, 2014 Good road maintenance schemes allow reducing costs and extending the service life of roads. There are several methods to plan these project maintenances but all of them require input information about maintenance costs, which can be very different ...
Cristóbal Moena, Alfredo Serpell
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The effect of calibration errors on the accuracy of the eye movement recordings
Journal of Eye Movement Research, 2008 For calibrating eye movement recordings, a regression between spatially defined calibration points and corresponding measured raw data is performed.
Jörg Hoormann +2 more
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The shooting S-estimator for robust regression [PDF]
, 2015 To perform multiple regression, the least squares estimator is commonly used. However, this estimator is not robust to outliers. Therefore, robust methods such as S-estimation have been proposed.
Alfons, Andreas +2 more
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fsdaSAS: A Package for Robust Regression for Very Large Datasets Including the Batch Forward Search
Stats, 2021 The forward search (FS) is a general method of robust data fitting that moves smoothly from very robust to maximum likelihood estimation. The regression procedures are included in the MATLAB toolbox FSDA.
Francesca Torti +2 more
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Kernel Truncated Regression Representation for Robust Subspace Clustering [PDF]
, 2020 Subspace clustering aims to group data points into multiple clusters of which each corresponds to one subspace. Most existing subspace clustering approaches assume that input data lie on linear subspaces.
Peng, Dezhong +3 more
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