Our research group develops modern and efficient multivariate statistical methods tailored for different types of multivariate data, such as time series, spatial data, spatio-temporal data, or ...

Clustered data occur frequently in statistical practice. In some areas of application, such as ophthalmology, clustered data are the rule rather than the exception. In this setting, standard ...

The goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T 2, etc. We’ll try to motivate ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

This course is a self-contained introduction to probabilistic and statistical methods used in risk management. A number of important questions and methods will be examined, including: How is the risk ...

What are your research topics? I develop statistical methods that help people make sense of complex and high-dimensional data — for example, information collected from many sensors, locations, or ...