University of Galsgow Crest

Research Related Links
Research Areas
Conferences & Presentations
Publications
Software

Teaching
Social Science Statistics 1 (SSS1)
Statistics 1C (S1C)
Multivariate Statistics 3

Level 3 Co-ordinator
Level 3 General Information

Resources & Links
LaTeX Primer by D. R. Wilkins
R Primer by Christopher Green

Dissertation
Download my PhD. Dissertation [PDF]

Curriculum Vitae
Download my CV [PDF]

Other Links
School of Mathematics and Statistics Webpage

Statistics Subject Webpage

Publications

Journal Articles

N. Dean and A. E. Raftery (2005), "Normal Uniform mixture Differential Gene Expression detection for cDNA Microarrays", BMC Bioinformatics, 6:173 [pdf]

(Link to earlier Technical Report [pdf]) [Software]

A. E. Raftery and N. Dean (2006), "Variable Selection for Model-Based Clustering", Journal of the American Statistical Association, 101 (473), 168-178.

(Link to earlier Technical Report [pdf)] [Software]

N. Dean, T. B. Murphy and G. Downey (2006), "Using unlabelled data to update classification rules with applications in food authenticity studies", Journal of the Royal Statistical Society: Series C (Applied Statistics), 55 (1), 1-14.

(Link to earlier Technical Report [pdf)]

N. Dean and A. E. Raftery (2010), "Latent Class Analysis Variable Selection", Annals of the Institute of Statistical Mathematics, 62 (1), 11-35.

(Link to Technical Report [pdf])

T. B. Murphy, N. Dean and A. E. Raftery (2010), "Variable Selection and Updating in Model-Based Discriminant Analysis for High-Dimensional Data with Food Authenticity Applications". Annals of Applied Statistics, 4 (1) 396-421.

(Link to Technical Report [pdf])

Conference Proceedings Papers

N. Dean and R. Nugent (2011), "Comparing different clustering models on the unit hypercube", Proceedings of the 58th World Statistics Congress, Proceedings (refereed. [pdf]

R. Nugent, N. Dean and E. Ayers (2010), "Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers", Educational Data Mining 2010: 3rd International Conference on Educational Data Mining, Proceedings (refereed), Baker, R.S.J.d, Merceron, A., Pavlik, P.I. Jr.(Eds), 151-160. [pdf]

R. Nugent, E. Ayers and N. Dean (2009), "Conditional Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students", Educational Data Mining 2009: 2nd International Conference on Educational Data Mining, Proceedings (refereed), Barnes, T., Desmarais, M., Romero, C., and Ventura, S. (Eds), Cordoba, Spain, July 1-3, 2009, 1-10. [pdf]

E. Ayers, R. Nugent and N. Dean (2009), "A Comparison of Student Skill Knowledge Estimates", Educational Data Mining 2009: 2nd International Conference on Educational Data Mining, Proceedings (refereed), Barnes, T., Desmarais, M., Romero, C., and Ventura, S. (Eds), Cordoba, Spain, July 1-3, 2009, 1-10. [pdf]
E. Ayers, R. Nugent and N. Dean (2008), "Skill Set Profile Clustering Based on Student Capability Vectors Computed from Online Tutoring Data", Educational Data Mining 2008: 1st International Conference on Educational Data Mining, Proceedings (refereed), R.S.J.d. Baker, T. Barnes, and J.E. Beck (Eds), Montreal, Quebec, Canada. June 20-21, 2008, 210-217. [pdf]
N. Dean and A. E. Raftery, "Variable Selection for Latent Class Models". Proceedings for the 56th Session of the International Statistical Institute 2007 [pdf]

In Preparation/Submitted

N. Dean and R. Nugent, "Clustering Student Skill Set Profiles in a Unit Hypercube using Mixtures of Multivariate Betas" (submitted to Advances in Data Analysis and Classification).
C. Anderson, D. Lee and N. Dean, "Identifying Clusters in Bayesian Disease Mapping" (submitted to Biostatistics).
E.E.M. Moodie, N. Dean and Y.R. Sun, "Q-learning: Flexible learning about useful utilities" (submitted to Statistics in Biosciences).
R. Nugent and N. Dean, "A Minimum-Density Linkage Method to Visualize High-Dimensional Density Estimates and their Hierarchical Cluster Structure".
N. Dean and R. Nugent, "Mixture Model Component Trees: Visualizing the Hierarchical Structure of Complex Groups".

















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