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Dietrich von Rosen

Visiting professor in Mathematical Statistics

I am visiting professor in Mathematical Statistics at Linköping University at the Department of Mathematics, and professor in Statistics at the Swedish University of Agricultural Sciences at the Department of Energy and Technology.

Research profile

The year 1998 von Rosen got a full professorship in Statistics at the Swedish University of Agricultural Sciences (SLU) and 2009-2024 he was also working as adjoint professor in Mathematical Statistics at Linköping University. In year 2024 he formally retired from SLU but is still connected with MAI at Linköping University. Moreover, von Rosen has been working at the medical university in Stockholm, the Karolinska Institute, for more than six years.

von Rosen’s research profile comprises linear models, multivariate analysis, bilinear models, high-dimensional analysis and matrix algebra. More than 130 peer reviewed articles have been written and 19 Ph.D. students have under supervision by von Rosen successfully defended their thesis.

von Rosen have two published books entitled “Advanced Multivariate Statistics with Matrices” and “Bilinear Regression Analysis, an Introduction”. He is Editor- in- Chief of Journal of Multivariate Analysis. von Rosen has organized several international conferences and workshops. In 2014 von Rosen became Honorary Doctor of Tartu University, Estonia. He has many ongoing international collaborations.


In collaboration with

maroh70

Martin Singull

Professor, Head of Division

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Xiangfeng Yang

Associate Professor, Docent

Professional activities

Professional activities

  • Leader of a research group in Biometry at the Swedish University of Agricultural Sciences
  • Associate editor of Acta et Commentationes Universitatis Tartuensis de Mathematica
  • Associate editor of Discussiones Mathematicae, Probability and Statistics
  • Associate editor of Journal of Multivariate Analysis
  • Associate editor of Statistical Papers
  • Swedish representative, International Biometric Society - Nordic-Baltic Region

Organizer of international meetings

  • Head of the international program committee of LinStat2014, 2014, Linköping, Sweden
  • Head of the  program committee  of the 10th Tartu Conference on Multivariate Statistics, 2016
  • Member of the international scientific committee of Linstat2016, 2016, Istanbul
  • Member of the international scientific committee of The First East African Conference on Mathematical Statistics with Applications, Kigali, Rwanda, 2017
  • Session organizer at LINSTAT2016 conference. Istanbul, 2016
  • Session organizer “Mixed linear models with applications to small area estimation” at CFE-CMStatistics, London, 16-18 December, 2017

Affiliations

Honorary Doctor, Tartu University, Estonia

External project funding

The Swedish Foundation for Humanities and Social Sciences

Teaching

National Ph.D. course in Statistical Inference for Statistics students in Sweden

Research

Abstract 3D pattern.

Modern Multivariate Statistical Analysis

Nowadays there is a great need to analyse complex high-dimensional data. Modern theories must be developed through the knowledge of the classical methods of multivariate statistics.

PhD students

Former PhD students


Publications

2024

Dietrich von Rosen, Martin Singull (2024) Using the growth curve model in classification of repeated measurements Annals of the Institute of Statistical Mathematics, Vol. 76, p. 511-534 (Article in journal) Continue to DOI
Katarzyna Filipiak, Dietrich von Rosen, Martin Singull, Wojciech Rejchel (2024) Estimation under inequality constraints in univariate and multivariate linear models
Anna Szczepanska-Alvarez, Adolfo Alvarez, Artur Szwengiel, Dietrich von Rosen (2024) Testing Correlation in a Three-Level Model Journal of Agricultural Biological and Environmental Statistics, Vol. 29, p. 257-276 (Article in journal) Continue to DOI
Shuangzhe Liu, Götz Trenkler, Tonu Kollo, Dietrich von Rosen, Oskar Maria Baksalary (2024) Professor Heinz Neudecker and matrix differential calculus Statistical papers, Vol. 65, p. 2605-2639 (Article in journal) Continue to DOI
Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2024) Moments of the likelihood-based discriminant function Communications in Statistics - Theory and Methods, Vol. 53, p. 1122-1134 (Article in journal) Continue to DOI

2023

Béatrice Byukusenge, Dietrich von Rosen, Martin Singull (2023) On Residual Analysis in the GMANOVA-MANOVA Model Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo, p. 287-305 (Chapter in book) Continue to DOI
Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2023) Moments of the Likelihood-based Classification Function using Growth Curves
Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2023) Edgeworth-type expansion of the density of the classifier when growth curves are classified via likelihood

2022

Béatrice Byukusenge, Dietrich von Rosen, Martin Singull (2022) On the Identification of Extreme Elements in a Residual for the GMANOVA-MANOVA Model Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Multidisciplinary Domains, p. 119-135 (Chapter in book) Continue to DOI
Felix Wamano, Leonard Atuhaire, Innocent Ngaruye, Dietrich von Rosen, Martin Singull (2022) Estimation of trends in household living standards in Uganda using a GMANOVA-MANOVA model with rank restrictions
Dietrich von Rosen, Martin Singull (2022) Classification of repeated measurements using growth curves
Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2022) Approximated misclassification errors for the likelihood based discriminant function via Edgetworth-type expansion
Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2022) The first two cumulants of the (quadratic) likelihood-based discriminant functions
Béatrice Byukusenge, Dietrich von Rosen, Martin Singull (2022) On an Important Residual in the GMANOVA-MANOVA Model Journal of Statistical Theory and Practice, Vol. 16 (Article in journal) Continue to DOI
Shinpei Imori, Dietrich von Rosen, Ryoya Oda (2022) Growth Curve Model with Bilinear Random Coefficients SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, Vol. 84, p. 477-508 (Article in journal) Continue to DOI

Books

Recent Developments in Multivariate and Random Matrix Analysis

The cover of
Festschrift in Honour of Dietrich von Rosen
Edited by Thomas Holgersson and Martin Singull

This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth curve models.

More about the book

Organisation

Illustrative picture representing mathematics

Applied Mathematics (TIMA)

Applied mathematics is used to study advanced methods for modeling in technology as well as natural and social sciences. The division conducts research in computational mathematics, mathematical statistics and optimization.
Fractal Plant

Department of Mathematics (MAI)

The department conducts research in computational mathematics, mathematics and applied mathematics, mathematical statistics, and optimization. We provide courses to students in most degree programmes in mathematics, science and engineering.
Studenthuset on Campus Valla in Linköping

About LiU

Linköping University, LiU, offers innovative education and boundary-crossing research. The students are among the most desirable in the labour market and international rankings consistently place LiU as a leading global university.

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