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Lawrence J. Hubert
 Lyle H. Lanier Professor of Psychology Professor of Statistics and Educational Psychology Ph.D. from Stanford University Quantitative Division Data analysis methods in psychology and the behavioral sciences generally with particular emphasis on representation techniques; strategies of combinatorial data analysis including exploratory optimization approaches and confirmatory nonparametric methods. Representative Publications: - Hubert, L. J., Arabie, P., & Meulman, J. (2006). The structural representation of proximity matrices with MATLAB. Philadelphia: SIAM (325 pp.).
- Hubert, L. J., Arabie, P., & Meulman, J. (2002). Linear unidimensional scaling in the L_{2}-norm: Basic optimization methods using MATLAB. Journal of Classification, 19, 303-328.
- Hubert, L. J., Arabie, P., & Meulman, J. (2001). Modeling dissimilarity: Generalizing ultrametric and additive tree representations. British Journal of Mathematical and Statistical Psychology, 54, 103-123.
- Hubert, L. J., Arabie, P., & Meulman, J. (2001). Combinatorial data analysis: Optimization by dynamic programming. Philadelphia: SIAM (177 pp.).
- Hubert, L. J., Meulman, J., & Heiser, W. (2000). Two purposes for matrix factorization: A historical appraisal. SIAM Review, 42, 68--82.
Classes Recently Taught: - Psychology 594: Multivariate Analysis in Psychology and Education
- Psychology 406: Statistical Methods I
- Psychology 407: Statistical Methods II
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