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Jolanta Pielaszkiewicz

Associate Professor

Director of Studies

Publications

2022

Daniel Klein, Jolanta Pielaszkiewicz, Katarzyna Filipiak (2022) Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings Journal of Multivariate Analysis, Vol. 192, Article 105049 Continue to DOI

2021

Jolanta Pielaszkiewicz, Dietrich von Rosen (2021) Multivariate Moments in Multivariate Analysis Multivariate, Multilinear and Mixed Linear Models, p. 41-91 Continue to DOI
Carlos A. Coelho, Jolanta Pielaszkiewicz (2021) The Likelihood Ratio Test of Equality of Mean Vectors with a Doubly Exchangeable Covariance Matrix Methodology and Applications of Statistics: a volume in honor of C.R. Rao on the occasion of his 100th birthday, p. 151-191 Continue to DOI

2020

Thomas Holgersson, Jolanta Pielaszkiewicz (2020) A collection of moments of the Wishart distribution Recent developments in multivariate and random matrix analysis: Festschrift in honour of Dietrich von Rosen, p. 147-162 Continue to DOI

2019

Jolanta Pielaszkiewicz, Thomas Holgersson (2019) Mixtures of traces of Wishart and inverse Wishart matrices Communications in Statistics - Theory and Methods Continue to DOI

About the division

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The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Colleagues at STIMA

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Amirhossein Ahmadian
PhD student
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Johan Alenlöv
Lecturer
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Sourabh Balgi
Photo of Krzysztof Bartoszek
Krzysztof Bartoszek
Senior Associate Professor
Photo of Jonas Bjermo
Jonas Bjermo
Postdoc
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Bayu Brahmantio
PhD student
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Gabriel Ducrocq
Postdoc
Photo of Filip Ekström Kelvinius
Filip Ekström Kelvinius
PhD student
Photo of Hariprasath Govindarajan
Hariprasath Govindarajan
Anders Grimvall
Photo of Ann-Charlotte Hallberg
Ann-Charlotte Hallberg
Lecturer
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Isak Hietala
Lecturer
Woodrow Hao Chi Kiang
PhD student
Camilla Kirkegaard
Research Engineer
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Fredrik Lindsten
Senior Associate Professor, Head of Division, Head of Unit
Samuel Matthiesen
Postdoc
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Frank Miller
Professor
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Shashi Nagarajan
Anders Nordgaard
Adjunct Associate Professor, Docent
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Amanda Olmin
PhD student
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Joel Oskarsson
PhD student
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Jose M Pena
Senior Associate Professor, Head of Unit
Dong Qian
Postdoc
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Héctor Rodriguez Déniz
Lecturer
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Oleg Sysoev
Senior Associate Professor
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Annika Tillander
Associate Professor
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Bertil Wegmann
Associate Professor
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Josef Wilzén
Lecturer
Linda Wänström
Associate Professor, Docent

About the department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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