Programme

Monday, Tuesday, 17-18.02.2020

Work in groups

Wednesday, 19.02.2020

João T. Mexia: Joint Analysis of Networks of Randomized Block Designs

Monika Mokrzycka: Covariance matrix identification: case study

Damian Brzyski: Finding the hidden structure of the correlation matrix by combining nuclear and L1 norms

Malwina Janiszewska: Block matrix approximation via entropy loss function

Roman Zmyślony, Arkadiusz Kozioł: Hypothesis testing in doubly multivariate models

Mateusz John, Katarzyna Filipiak: Power comparison in testing hypothesis about independence in block compound symmetry structure

Anna Szczepańska-Álvarez: Testing of the association between two groups of features

Thursday, 20.02.2020

Carlos A. Coelho, Jolanta Pielaszkiewicz: Ongoing research with with Yuli Liang and Jolanta Pielaszkiewicz

Ivan Žežula: Testing multiple means in two-level compound symmetry multivariate data

Daniel Klein: Some comments on the distribution of likelihood ratio test statistic

Adam Mieldzioc: Covariance matrix regularization using gradient algorithm

Katarzyna Filipiak: Comments on maximum likelihood estimation and projection under multivariate statistical models