Multiway Data Analysis
  Brief description of the teacher's research
May 26-30, 2008  

Brief description of teacher’s research interests and their key three-way publications

Prof. Kiers’ research focuses on Multiway component analysis, simple structure rotation and optimization procedures for statistical methods. More recently, interest in application and usability of statistical techniques (among which three-way techniques) arose.

Prof. ten Berge’s primary research topics are component and factor analysis, reliability of psychological tests, target rotations, and mathematical properties of three-way arrays like rank, uniqueness in Candecomp/Parafac, and transformations of arrays to maximal simplicity.

Key Publications:

Kiers, H.A.L. (1988) Comparison of 'anglo-saxon' and 'french' three-mode methods. Statistique et Analyse des Données, 13 (3), 14-32.

Kiers, H.A.L. (1991) Hierarchical relations among three-way methods. Psychometrika, 56, 449-470.

Kiers, H.A.L., & van Mechelen, I. (2001) Three-way component analysis: Principles and illustrative application. Psychological Methods, 6, 84-110.

Rocci, R. & Ten Berge, J.M.F. (2002). Transforming three-way arrays to maximal simplicity. Psychometrika, 67, 351-365.

Smilde, A.K. & Kiers, H.A.L. (1999) Multiway covariates regression models. Journal of Chemometrics, 13, 31-48.

Ten Berge, J.M.F. (2004). Simplicity and typical rank of three-way arrays, with applications to TUCKER-3 analysis with simple cores. Journal of Chemometrics, 18, 17-21.

Ten Berge, J.M.F. & Sidiropoulos, N.D. (2002): On uniqueness in Candecomp/Parafac. Psychometrika, 67, 399-409.

Ten Berge, J.M.F. & Smilde, A. (2002). Non-triviality and identification of a constrained Tucker3 analysis. Journal of Chemometrics, 16, 609-612.