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 ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

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 ...

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 webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...

Benchmarking is a specific type of reconciliation problem in macro-integration. It consists of reconciling systems of accounts based on different periods (e.g. quarterly versus annual accounts). This ...

CAMO Software has launched a new version of its all-in-one multivariate data analysis (MVA) software, the Unscrambler X. The ...

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 ...