Dietrich von Rosen

Dietrich von Rosen

Visiting professor in Mathematical Statistics

I am visiting professor in Mathematical Statistics at Link枚ping 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 Link枚ping University. In year 2024 he formally retired from SLU but is still connected with MAI at Link枚ping University. Moreover, von Rosen has been working at the medical university in Stockholm, the Karolinska Institute, for more than six years.

von Rosen鈥檚 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 鈥淎dvanced Multivariate Statistics with Matrices鈥� and 鈥淏ilinear Regression Analysis, an Introduction鈥�. 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

Martin Singull

Professor, Head of Division

Xiangfeng Yang

Associate Professor, Docent

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, Link枚ping, 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 鈥淢ixed linear models with applications to small area estimation鈥� 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

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

Joseph Nzabanita (doctoral). Title of thesis:
Jolanta Pielaszkiewicz (doctoral). Title of thesis:
Innocent Ngaruye (doctoral). Title of thesis:

Publications

2024

Dietrich von Rosen, Martin Singull (2024) Annals of the Institute of Statistical Mathematics, Vol. 76, p. 511-534 (Article in journal)

Katarzyna Filipiak, Dietrich von Rosen, Martin Singull, Wojciech Rejchel (2024)

Anna Szczepanska-Alvarez, Adolfo Alvarez, Artur Szwengiel, Dietrich von Rosen (2024) Journal of Agricultural Biological and Environmental Statistics, Vol. 29, p. 257-276 (Article in journal)

Shuangzhe Liu, Götz Trenkler, Tonu Kollo, Dietrich von Rosen, Oskar Maria Baksalary (2024) Statistical papers, Vol. 65, p. 2605-2639 (Article in journal)

Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2024) Communications in Statistics - Theory and Methods, Vol. 53, p. 1122-1134 (Article in journal)

2023

Béatrice Byukusenge, Dietrich von Rosen, Martin Singull (2023) Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo, p. 287-305 (Chapter in book)

Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2023)

2022

Béatrice Byukusenge, Dietrich von Rosen, Martin Singull (2022) Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Multidisciplinary Domains, p. 119-135 (Chapter in book)

Felix Wamano, Leonard Atuhaire, Innocent Ngaruye, Dietrich von Rosen, Martin Singull (2022)

Dietrich von Rosen, Martin Singull (2022)

Emelyne Umunoza Gasana, Dietrich von Rosen, Martin Singull (2022)

Béatrice Byukusenge, Dietrich von Rosen, Martin Singull (2022) Journal of Statistical Theory and Practice, Vol. 16 (Article in journal)

Shinpei Imori, Dietrich von Rosen, Ryoya Oda (2022) SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, Vol. 84, p. 477-508 (Article in journal)

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.

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.

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 Link枚ping

About LiU

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