Wykładowcy

dr Daniel Klein, Uniwersytet Pavla Jozefa Šafárika w Koszycach, Słowacja 

"Estimation and testing in multivariate linear models"

Abstract:

Experiment is one of the main tool of scientific research and it typically results in a set of measured or observed data. There are two main problems to solve while analysing data - to determine the values of unknown parameters, and to test the hypotheses about the values of unknown parameters. The talk will be focused on the problems of estimation and testing of unknown parameters in the growth curve model and its generalized versions as well as in two-level multivariate linear models. The estimators of unknown parameters under some specific conditions, especially under assumption of special covariance matrix structure, and tests of mean and covariance structure will be studied.

Presentation is here.

 

 

dr hab. Błażej Miasojedow, Uniwersytet Warszawski

"Computational method for high dimensional statistics"

Abstract:
High-dimensional statistics in recent years have posed new challenges for computational methods. On the one hand, statistical problems are the motivation for creating new algorithms, on the other hand, the analysis of numerical methods shows the directions of the development of new statistical methods. In my lecture I am going to talk about results in the field of computational statistics, focusing mainly on stochastic optimization methods.

Presentation is here.