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Robust regression and outlier detection by Annick M. Leroy, Peter J. Rousseeuw

Robust regression and outlier detection Annick M. Leroy, Peter J. Rousseeuw ebook
Publisher: Wiley
Page: 347
ISBN: 0471852333, 9780471852339
Format: pdf

Another solution to mitigate these problems is to preprocess the data with an outlier detection algorithm that attempts either to remove outliers altogether or de-emphasize them by giving them less weight than other points when constructing the linear regression model. Jeuken J, Sijben A, Alenda C, Rijntjes J, Dekkers M, Boots-Sprenger S, McLendon R, Wesseling P: Robust detection of EGFR copy number changes and EGFR variant III: Technical aspects and relevance for glioma diagnostics. Motion correction algorithms may create spurious brain activations in the absence of subject motion. Regression analysis identified outliers. High Performance Object Detection by Collaborative Learning of Joint Ranking of Granule Features. Often, however, a transformation will not eliminate or attenuate the leverage of influential outliers that bias the prediction and distort the significance of parameter estimates. Robust statistical methods can ensure that the results are not overly influenced by these outliers, either by reducing the effect of outlier datapoints (e.g., robust regression using iteratively reweighted least squares) or by separately Robust tools for fMRI group analysis are increasingly available, both as part of standard software packages (such as the “outlier detection” technique implemented in FSL: Woolrich, 2008) and as add-on toolboxes (Wager et al., 2005). Robust Regression and Outlier Detection. Therefore, robust principal component analysis (ROBPCA) [23] was used to detect the outliers. Outlier identification was performed with regression analysis to detect data points at or beyond 95% confidence intervals for residuals. An even more outlier robust linear regression technique is least median of squares, which is only concerned with the median error made on the training data, not each and every error. Authors: Toward Coherent Object Detection And Scene Layout Understanding Robust RVM Regression Using Sparse Outlier Model. WILEY–INTERSCIENCE PAPERBACK SERIES The Wiley–Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.