Robust and Multivariate Statistical Methods
Editor
- Mengxi Yi(Beijing Normal University, School of Statistics)Klaus Nordhausen(University of Jyväskylä, Department of Mathematics and Statistics)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-22687-8
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Book Chapters
The following chapters of this book are listed in IDEAS- Daniel Fischer & Klaus Nordhausen & Mengxi Yi, 2023. "An Analysis of David E. Tyler’s Publication and Coauthor Network," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 3-21, Springer.
- Sara Taskinen & Gabriel Frahm & Klaus Nordhausen & Hannu Oja, 2023. "A Review of Tyler’s Shape Matrix and Its Extensions," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 23-41, Springer.
- Davy Paindaveine & Thomas Verdebout, 2023. "On the Asymptotic Behavior of the Leading Eigenvector of Tyler’s Shape Estimator Under Weak Identifiability," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 45-64, Springer.
- Stavros Zinonos & William E. Strawderman, 2023. "On Minimax Shrinkage Estimation with Variable Selection," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 65-86, Springer.
- Marc Hallin & Gilles Mordant, 2023. "On the Finite-Sample Performance of Measure-Transportation-Based Multivariate Rank Tests," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 87-119, Springer.
- Lutz Dümbgen & Katrin Gysel & Fabrice Perler, 2023. "Refining Invariant Coordinate Selection via Local Projection Pursuit," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 121-136, Springer.
- John T. Kent, 2023. "Directional Distributions and the Half-Angle Principle," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 137-154, Springer.
- Gabriel Frahm, 2023. "Power M-Estimators for Location and Scatter," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 157-177, Springer.
- Esa Ollila & Hyon-Jung Kim, 2023. "On Robust Estimators of a Sphericity Measure in High Dimension," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 179-195, Springer.
- Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent & Camille Mondon, 2023. "Detecting Outliers in Compositional Data Using Invariant Coordinate Selection," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 197-224, Springer.
- Daniel Peña & Víctor J. Yohai, 2023. "Robust Forecasting of Multiple Time Series with One-Sided Dynamic Principal Components," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 225-247, Springer.
- Ginette Lafit & Javier Nogales & Marcelo Ruiz & Ruben Zamar, 2023. "Robust and Sparse Estimation of Graphical Models Based on Multivariate Winsorization," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 249-275, Springer.
- Daniel Vogel & Stuart J. Watt & Anna Wiedemann, 2023. "Robustly Fitting Gaussian Graphical Models—the R Package robFitConGraph," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 277-296, Springer.
- Manuel Koller & Werner A. Stahel, 2023. "Robust Estimation of General Linear Mixed Effects Models," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 297-322, Springer.
- Ana M. Bianco & Graciela Boente & Gonzalo Chebi, 2023. "Asymptotic Behaviour of Penalized Robust Estimators in Logistic Regression When Dimension Increases," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 323-348, Springer.
- Weichang Yu & Howard D. Bondell, 2023. "Conditional Distribution-Based Downweighting for Robust Estimation of Logistic Regression Models," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 349-364, Springer.
- Setareh Ranjbar & Elvezio Ronchetti & Stefan Sperlich, 2023. "Bias Calibration for Robust Estimation in Small Areas," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 365-394, Springer.
- Peter Meer, 2023. "The Diverging Definition of Robustness in Statistics and Computer Vision," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 395-406, Springer.
- John Kolassa & Xinyan Chen & Yodit Seifu & Dewei Zhong, 2023. "Power Calculations and Critical Values for Two-Stage Nonparametric Testing Regimes," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 409-428, Springer.
- Kenneth Edward Cherasia & Javier Cabrera & Luisa T. Fernholz & Robert Fernholz, 2023. "Data Nuggets in Supervised Learning," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 429-449, Springer.
- Yijun Zhu & Han Xiao, 2023. "Improved Convergence Rates of Normal Extremes," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 451-476, Springer.
- David S. Stoffer, 2023. "Local Spectral Analysis of Qualitative Sequences via Minimum Description Length," Springer Books, in: Mengxi Yi & Klaus Nordhausen (ed.), Robust and Multivariate Statistical Methods, pages 477-495, Springer.
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