Combinatorics
Richard Bean Latin trades on three or four rows 2006 Discrete Mathematics 306, 3028-3041
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R. Bean, H. Bidkhori, M. Khosravi, and E. S. Mahmoodian k-homogeneous Latin trades 2005 Bayreuther Mathematische Schriften 74, 7
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Richard Bean Critical sets in the elementary abelian 2- and 3- groups 2005 Utilitas Mathematica 68, 53-61
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Richard Bean The size of the smallest uniquely completable set in order 8 Latin squares 2005 Journal of Combinatorial Mathematics and Combinatorial Computing 52, 159-168
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Richard Bean and E. S. Mahmoodian A new bound on the size of the largest critical set in a Latin square (arXiv) 2003 Discrete Mathematics 267 (1-3), 13-21
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Peter Adams, Richard Bean, and Abdollah Khodkar A census of critical sets in the Latin squares of order at most six 2003 Ars Combinatoria 68, 203-224
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Richard Bean, Diane Donovan, Abdollah Khodkar, and Anne Penfold Street Steiner trades that give rise to completably decomposable Latin interchanges 2002 International Journal of Computer Mathematics 79 (12), 1273-1284
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Peter Adams, Richard Bean, and Abdollah Khodkar Disjoint critical sets in Latin squares 2001 Congressus Numerantium, 33-48
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Richard Bean PhD thesis: Critical sets in Latin squares and associated structures (LaTeX source) 2001 local
Richard Bean and Diane Donovan Closing a gap in the spectrum of critical sets 2000 Australasian Journal of Combinatorics 22, 191-200
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Statistics
G. J. McLachlan, R. Bean, and S. K. Ng Clustering 2008 Bioinformatics, 423-439
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G. J. McLachlan, R. Bean, and S. K. Ng Clustering of microarray data via mixture models 2008 Statistical Advances in Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics, A. Biswas, S. Datta, JP Fine, and MR Segal (Eds.). Hoboken, New Jersey: Wiley, 365-384. local
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 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 Translational Research 151 (2), 97-109 local
K.-A. Do, G. J. McLachlan, R. Bean, and S. Wen Application of gene shaving and mixture models to cluster microarray gene expression data 2007 Cancer Informatics 5, 117693510700500002 local
G. J. McLachlan, R. Bean, and L. Ben-Tovim Jones Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution 2007 Computational Statistics & Data Analysis 51 (11), 5327-5338 local
K. E. Basford, G. J. McLachlan, R. Bean Issues of robustness and high dimensionality in cluster analysis 2006 Compstat 2006-Proceedings in Computational Statistics, 3-15 local
L. Ben-Tovim Jones, R. W. Bean, G. J. McLachlan, and J.X. Zhu Mixture models for detecting differentially expressed genes in microarrays 2006 International journal of neural systems 16 (05), 353-362 local
G. J. McLachlan, R. W. Bean, and L. Ben-Tovim Jones A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays 2006 Bioinformatics 22 (13), 1608-1615 local
G. J. McLachlan, S. K. Ng, and R. Bean Robust cluster analysis via mixture models 2006 Austrian Journal of Statistics 35 (2&3), 157–174 local
S. K. Ng, G. J. McLachlan, R. Bean and S. W. Ng Clustering replicated microarray data via mixtures of random effects models for various covariance structures(CRPIT) 2006 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics (73), 29 -33
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R. Bean and G. J. McLachlan Cluster analysis of high-dimensional data: a case study 2005 International Conference on Intelligent Data Engineering and Automated Learning 2005, 302-310
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L. Ben-Tovim Jones, R. W. Bean, G. J. McLachlan, and J.X. Zhu Application of Mixture Models to Detect Differentially Expressed Genes 2005 International Conference on Intelligent Data Engineering and Automated Learning 2005, 422-431
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G. J. McLachlan, R. W. Bean, L. Ben-Tovim Jones, and J.X. Zhu Using mixture models to detect differentially expressed genes 2005 Australian Journal of Experimental Agriculture 45 (8), 859-866 local
G. J. McLachlan and R. W. Bean Contribution to the discussion of paper by J. Friedman and J. Meulman 2004 Journal of the Royal Statistical Society: Series B (Statistical Methodology) 66(4), 815-849
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G. J. McLachlan, S. K. Ng, and R. Bean Robust mixture modeling 2004 Proceedings of the American Statistical Association, JSM 2004, pp. 2044-2055. local
G. J. McLachlan, D. Peel and R. Bean Modelling high-dimensional data by mixtures of factor analyzers 2003 Computational Statistics & Data Analysis 41, 379-388 local
G. J. McLachlan, R. Bean and D. Peel A mixture model-based approach to the clustering of microarray expression data 2002 Bioinformatics 18, 413-422 local
Power systems
Richard Bean, Stephen Snow, Mashhuda Glencross, Stephen Viller and Neil Horrocks Keeping the power on to home medical devices 2020 PLOS ONE local
Wayes Tushar, Tapan Kumar Saha, Chau Yuen, M. Imran Azim, Thomas Morstyn, H. Vincent Poor, Dustin Niyato, and Richard Bean A coalition formation game framework for peer-to-peer energy trading 2020 Applied Energy 261, 114436 local
Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Thomas Morstyn, Nahid-Al-Masood, H. Vincent Poor and Richard Bean Grid Influenced Peer-to-Peer Energy Trading 2019 IEEE Transactions on Smart Grid 11 (2), 1407-1418 local
Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Paul Liddell, Richard Bean, and H. Vincent Poor Peer-to-Peer Energy Trading With Sustainable User Participation: A Game Theoretic Approach 2018 IEEE Access 6, 62932-62943 local
Richard Bean and Hina Khan Using solar and load predictions in battery scheduling at the residential level 2018 8th Solar Integration Workshop, Stockholm 2018
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Richard Bean and Ben Vanderwaal Calculation of Minimum Reserve Levels for the Australian National Electricity Market 2011 Proceedings of the 17th Power Systems Computation Conference Stockholm Sweden - August 22-26, 2011, 364-371
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Transport
Derlie Mateo-Babiano, Richard Bean, Jonathan Corcoran and Dorina Pojani How does our natural and built environment affect the use of bicycle sharing? 2016 Transportation Research Part A: Policy and Practice 94, 295-307
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Richard Bean, Dorina Pojani and Jonathan Corcoran How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones 2021 Journal of Transport Geography
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Cryptography
Richard Bean Cryptodiagnosis of "Kryptos K4" 2021 Proceedings of the 4th International Conference on Historical Cryptology Histocrypt 2021, 183, 25-33 local
Richard Bean Comment on A Test of Survival 2020 Journal of the Society for Psychical Research 84 (1), 56-57 local
Richard Bean The Use of Project Gutenberg and Hexagram Statistics to Help Solve Famous Unsolved Ciphers 2020 Proceedings of the 3rd International Conference on Historical Cryptology HistoCrypt 2020, 171, 31-35 local
Richard Bean, George Lasry and Frode Weierud Eavesdropping on the Biafra-Lisbon link - breaking historical ciphers from the Biafran war 2020 Cryptologia local
Chess
Richard Bean Counting nodes in chess 2003 local