Málstofa í tölfræði

Málstofa í tölfræði Fyrirlesari: Okan Bulut Titill: Profile Analysis of Multivariate Data Using the profileR Package Staðsetning: Stofa 5, Háskólabíó. Tími: Miðvikudagur 28. október, klukkan 11:00-12:00. Ágrip: Profile analysis is a psychometric clustering technique that is the equivalent of a repeated measures extension of the multivariate analysis of variance model. Profile analysis is used by […]

Málstofa í tölfræði Fyrirlesari: Daníel F. Guðbjartsson, Department of Statistics, deCODE genetics Titill: Estimating the effect of a sequence variant on correlated phenotypes Staðsetning: Lögberg, 201 Tími: Föstudagur 3. október , frá 12:00 til 13:00. Ágrip: Some variations in the human genome associate with multiple correlated phenotypes. This leads naturally to questions about conditional independence.

Málstofa í tölfræði Fyrirlesari: Douglas P. Wiens, Department of Mathematical and Statistical Sciences, University of Alberta Titill: Robustness of Design: A Survey Staðsetning: V-147, VRII Tími: Föstudagur 12. september, frá 12:00 til 13:00 Ágrip: When an experiment is conducted for purposes which include fitting a particular model to the data, then the ‘optimal’ experimental design

Málstofa í tölfræði Fyrirlesari: Philippe Crochet, Research Specialist at the Icelandic Meterological Office Titill: Estimating the flood frequency distribution at ungauged catchments using a regional flood frequency analysis Staðsetning: V-157, VRII Tími: Fimmtudaginn 10. apríl, frá 12:00 til 13:00. Ágrip: Extreme events such as floods may have serious societal and environmental consequences. It is therefore

Málstofa í tölfræði Fyrirlesari: Guðmundur Einarsson, M.S. student of Statistics, University of Iceland Titill: Discussion on evolutionary algorithms in optimization Staðsetning: Room V-157 in building VR-II on the UI campus Tími: Thursday, April 3rd 2014, at 12:00 to 13:00. Abstract: Two papers will be discussed. First, a paper entitled „Metaheuristics-the metaphor exposed“ by K. Sörensen.

Málstofa í tölfræði Speaker: Óli Páll Geirsson, Doctoral student, Department of Mathematics, Faculty of Physical Sciences, University of Iceland. Title: Modelling annual maximum 24 hour precipitation in Iceland using the SPDE approach and split sampling MCMC strategy Location: Room V-157 in building VR-II on the UI campus Time: Thursday, March 20th 2014, at 12:00 to

Málstofa í tölfræði Speaker: Daniel Simpson, Researcher, Department of Mathematical Sciences, Norwegian University of Science and Technology Title: Towards computationally efficient spatial statistics Location: Room V-157 in building VR-II on the UI campus Time: Thursday January 23rd 2014, at 12:00 to 13:00. Abstract: Spatial statistics is hard! The combination of large datasets and complicated models