Programme

Wednesday, 15.03.2017, 4 p.m.

 

Katarzyna Filipiak and Daniel Klein: “Approximation with Kronecker product structure with one component as compound symmetry or autoregression”

Katarzyna Filipiak and Dominika Wojtera-Tyrakowska: “Real data analysis - different approaches - discussion ”

Arkadiusz Kozioł and Roman Zmyślony: “Testing hypotheses in multivariate normal model with blocked compound symmetric covariance structure”

João T. Mexia, Sandra S. Ferreira, Dario Ferreira and Celia Nunes: "Nesting through blocks in mixed models"

Simo Puntanen: “Linear sufficiency in mixed models”

Aneta Sawikowska: “Correlation analysis of chromatographic peaks”

Anna Szczepańska-Alvarez and Bogna Zawieja: “Properties of maximum likelihood estimators for multivariate linear models with Kronecker structured covariance matrices – simulations”

Dietrich von Rosen: "Matrix derivatives"

Dietrich von Rosen: "Reduced rank regression"

Ivan Žežula, Daniel Klein, Veronika Kopčová and Ondrej Hutník: "Unbiased estimation of correlation coefficient"