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Modern Nonparametric, Robust and Multivariate Methods

Festschrift in Honour of Hannu Oja

  • Book
  • © 2015

Overview

Editors:
  1. Klaus Nordhausen

    1. Department of Mathematics and Statistics, School of Health Sciences, University of Turku, Turku, Finland

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  2. Sara Taskinen

    1. Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland

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    You can also search for this editor in PubMed   Google Scholar

  • Features new findings in the area of nonparametric, robust and multivariate statistics

  • Includes contributions on statistical signal processing

  • Appeals to researchers and PhD students interested in the latest developments in the field

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xx
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  2. Remarks About Hannu Oja’s Career and Publications

    1. Front Matter

      Pages 1-1
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    2. When We Were Very Young: Some Recollections from Hannu Oja’s First Years of Academic Life

      • Elja Arjas
      Pages 3-6

    3. Publication and Coauthorship Networks of Hannu Oja

      • Daniel Fischer, Klaus Nordhausen, Sara Taskinen
      Pages 7-27

  3. Univariate Nonparametric and Robust Methods

    1. Front Matter

      Pages 29-29
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    2. Approximate U-Statistics for State Waiting Times Under Right Censoring

      • Somnath Datta, Douglas J. Lorenz, Susmita Datta
      Pages 31-46

    3. Nonparametric Location Estimators in the Randomized Complete Block Design

      • Stefanie Hayoz, Jürg Hüsler
      Pages 47-68

    4. Permutation Tests in Linear Regression

      • Jukka Nyblom
      Pages 69-90

    5. Highly Robust and Highly Finite Sample Efficient Estimators for the Linear Model

      • Ezequiel Smucler, Víctor J. Yohai
      Pages 91-108

    6. Optimal Rank Tests for Symmetry Against Edgeworth-Type Alternatives

      • Delphine Cassart, Marc Hallin, Davy Paindaveine
      Pages 109-132

    7. Generalized MM-Tests for Symmetry

      • Jue Wang, David E. Tyler
      Pages 133-148

  4. Nonparametric and Robust Methods for Multivariate and Functional Data

    1. Front Matter

      Pages 149-149
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    2. M-Estimators of the Correlation Coefficient for Bivariate Independent Component Distributions

      • Georgy Shevlyakov, Pavel Smirnov
      Pages 151-166

    3. Robust Coordinates for Compositional Data Using Weighted Balances

      • Peter Filzmoser, Karel Hron
      Pages 167-184

    4. Computation of the Oja Median by Bounded Search

      • Karl Mosler, Oleksii Pokotylo
      Pages 185-203

    5. Algorithms for the Spatial Median

      • John T. Kent, Fikret Er, Patrick D. L. Constable
      Pages 205-224

    6. L1-Regression for Multivariate Clustered Data

      • Jaakko Nevalainen, Denis Larocque
      Pages 225-234

    7. Robust Variable Selection and Coefficient Estimation in Multivariate Multiple Regression Using LAD-Lasso

      • Jyrki Möttönen, Mikko J. Sillanpää
      Pages 235-247

    8. On Some Nonparametric Classifiers Based on Distribution Functions of Multivariate Ranks

      • Olusola Samuel Makinde, Biman Chakraborty
      Pages 249-264

    9. Robust Change Detection in the Dependence Structure of Multivariate Time Series

      • Daniel Vogel, Roland Fried
      Pages 265-288
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Keywords

About this book

Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.

Editors and Affiliations

  • Department of Mathematics and Statistics, School of Health Sciences, University of Turku, Turku, Finland

    Klaus Nordhausen

  • Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland

    Sara Taskinen

About the editors

Dr. Klaus Nordhausen is a postdoctoral researcher at the Department of Mathematics and Statistics at the University of Turku. His main research interests include multivariate and robust statistical methods and blind source separation.

Dr. Sara Taskinen is an Academy Research Fellow at the Department of Mathematics and Statistics at the University of Jyväskylä. Her main research interests include nonparametric and robust multivariate methods, statistical signal processing and robust methods in biology and ecology.

 

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