Combinatorics
PhD thesis: Critical sets in Latin squares and associated structures	2001	Richard Bean	local
Closing a gap in the spectrum of critical sets	2000	Richard Bean and Diane Donovan	local
A new bound on the size of the largest critical set in a Latin square (arXiv)	2003	Richard Bean and E. S. Mahmoodian	local
Steiner trades that give rise to completably decomposable Latin interchanges	2002	Richard Bean, Diane Donovan, Abdollah Khodkar, and Anne Penfold Street	local
A census of critical sets in Latin squares of order at most six	2003	Peter Adams, Richard Bean, and Abdollah Khodkar	local
Disjoint critical sets in Latin squares	2001	Peter Adams, Richard Bean, and Abdollah Khodkar	local
Critical sets in the elementary abelian 2- and 3- groups	2005	Richard Bean	local
The size of the smallest uniquely completable set in order 8 Latin squares	2005	Richard Bean	local
Latin trades on three or four rows	2006	Richard Bean	local
k-homogeneous Latin trades	2005	R. Bean, H. Bidkhori, M. Khosravi, and E. S. Mahmoodian	local
Statistics
Clustering	2008	G. J. McLachlan, R. Bean, and S. K. Ng	local
Clustering of microarray data via mixture models	2008	G. J. McLachlan, R. Bean, and S. K. Ng	local
Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study	2008	C.E. McLaren, V.R. Gordeuk, W.-P. Chen, J.C. Barton, R.T. Acton, M. Speechley, O. Castro, P.C. Adams, B.M. Snively, E.L. Harris, D.M. Reboussin, G. J. McLachlan, and R. Bean	local
Application of gene shaving and mixture models to cluster microarray gene expression data	2007	K.-A. Do, G. J. McLachlan, R. Bean, and S. Wen	local
Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution	2007	G. J. McLachlan, R. Bean, and L. Ben-Tovim Jones	local
Issues of robustness and high dimensionality in cluster analysis	2006	K. E. Basford, G. J. McLachlan, R. Bean	local
Mixture models for detecting differentially expressed genes in microarrays	2006	L. Ben-Tovim Jones, R. W. Bean, G. J. McLachlan, and J.X. Zhu	local
A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays	2006	G. J. McLachlan, R. W. Bean, and L. Ben-Tovim Jones	local
Robust cluster analysis via mixture models	2006	G. J. McLachlan, S. K. Ng, and R. Bean	local
Clustering replicated microarray data via mixtures of random effects models for various covariance structures(CRPIT)	2006	S. K. Ng, G. J. McLachlan, R. Bean and S. W. Ng	local
Cluster analysis of high-dimensional data: a case study	2005	R. Bean and G. J. McLachlan	local
Application of Mixture Models to Detect Differentially Expressed Genes	2005	L. Ben-Tovim Jones, R. W. Bean, G. J. McLachlan, and J.X. Zhu	local
Using mixture models to detect differentially expressed genes	2005	G. J. McLachlan, R. W. Bean, L. Ben-Tovim Jones, and J.X. Zhu	local
Contribution to the discussion of paper by J. Friedman and J. Meulman	2004	G. J. McLachlan and R. W. Bean	local
Robust mixture modeling	2004	G. J. McLachlan, S. K. Ng, and R. Bean	local
Modelling high-dimensional data by mixtures of factor analyzers	2003	G. J. McLachlan, D. Peel and R. Bean	local
A mixture model-based approach to the clustering of microarray expression data	2002	G. J. McLachlan, R. Bean and D. Peel	local
Power systems
Calculation of Minimum Reserve Levels for the Australian National Electricity Market	2011	Richard Bean and Ben Vanderwaal	local