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Lawrence J. Hubert

Affiliations:

University of Illinois, Urbana-Champaign, Urbana-Champaign, IL

Area:

Psychometrics Psychology, Biostatistics Biology

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"Lawrence Hubert"

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Parents

Lee J. Cronbach	grad student
Patrick Suppes	grad student		(Philosophy Tree)

Children

Matthew Hesson-McInnis	grad student		UIUC (SocTree)
James R. Hershey	grad student	2002	UIUC
Moon-ho R. Ho	grad student	2003	UIUC
Douglas L. Steinley	grad student	2004	UIUC
Hans F. Koehn	grad student	2007	UIUC
Ehsan Bokhari	grad student	2014	UIUC

Collaborators

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Publications

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Bokhari E, Hubert LJ. (2018) The Lack of Cross-Validation Can Lead to Inflated Results and Spurious Conclusions: A Re-Analysis of the MacArthur Violence Risk Assessment Study Journal of Classification. 35: 147-171
Steinley D, Brusco MJ, Hubert L. (2016) The variance of the adjusted Rand index. Psychological Methods. 21: 261-272
Bokhari E, Hubert L. (2015) A new condition for assessing the clinical efficiency of a diagnostic test. Psychological Assessment. 27: 745-54
Armstrong PI, Rounds J, Hubert L. (2008) Re-conceptualizing the past: Historical data in vocational interest research Journal of Vocational Behavior. 72: 284-297
Steinley D, Hubert L. (2008) Order-Constrained Solutions in K-Means Clustering: Even Better Than Being Globally Optimal Psychometrika. 73: 647-664
Hubert LJ, Arabie P, Meulman JJ. (2002) Linear unidimensional scaling in the L2-norm: Basic optimization methods using MATLAB Journal of Classification. 19: 303-328
Hubert L, Arabie P, Meulman J. (2001) Modelling dissimilarity: Generalizing ultrametric and additive tree representations British Journal of Mathematical and Statistical Psychology. 54: 103-123
Hubert L, Meulman J, Heiser W. (2000) Two Purposes for Matrix Factorization: A Historical Appraisal Siam Review. 42: 68-82
Hubert LJ, Arabie P, Meulman JJ. (1998) The Representation of Symmetric Proximity Data: Dimensions and Classifications The Computer Journal. 41: 566-577
Hubert L, Arabie P, Meulman J. (1998) Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices Psychometrika. 63: 341-358

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