# Dr Nema Dean

**Lecturer**(Statistics)

**telephone**: 01413306820

**email**: Nema.Dean@glasgow.ac.uk

R341

Mathematics Building

University Place

Glasgow G12 8QW

## Research interests

### Research Interests

My research interests are in developing new clustering and classification methods. Past work has involved research on finite mixture model based methods and variations that incorporate variable selection and semi-supervised updating. Currently I am working on creating hybrid clustering methods using both parametric and classical algorithmic approaches. I have also developed new mixture model clustering methods for discrete and space-restricted data. Social network analysis and dynamic treatment regimes are also current areas of interest. Application areas I have looked at include: housing markets, cDNA microarrays, electronic educational testing, food authenticity studies and many others. I am on the committee for an International Federation of Classification Societies initiative to promote good benchmarking practices in clustering research.

#### Research Groups

## Publications

**18**.

## 2018

Dean, N. , Dong, G., Piekut, A. and Pryce, G.
(2018)
Frontiers in residential segregation: understanding neighbourhood boundaries and their impacts.
*Tijdschrift voor Economische en Sociale Geografie*,
(doi:10.1111/tesg.12316)
(Early Online Publication)

## 2017

Flynt, A. and Dean, N.
(2017)
Growth mixture modeling with measurement selection.
*Journal of Classification*,
(Accepted for Publication)

Dean, N. and Pryce, G.
(2017)
Is the housing market blind to religion? A perceived substitutability approach to homophily and social integration.
*Urban Studies*, 54(13),
pp. 3058-3070.
(doi:10.1177/0042098016668779)

Anderson, C. , Lee, D. and Dean, N.
(2017)
Spatial clustering of average risks and risk trends in Bayesian disease mapping.
*Biometrical Journal*, 59(1),
pp. 41-56.
(doi:10.1002/bimj.201600018)
(PMID:27492753)

## 2016

Martyna, A., Zadora, G., Neocleous, T., Michalska, A. and Dean, N.
(2016)
Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra.
*Analytica Chimica Acta*, 931,
pp. 34-46.
(doi:10.1016/j.aca.2016.05.016)
(PMID:27282749)

Flynt, A. and Dean, N.
(2016)
A survey of popular R packages for cluster analysis.
*Journal of Educational and Behavioral Statistics*, 41(2),
pp. 205-225.
(doi:10.3102/1076998616631743)

Anderson, C. , Lee, D. and Dean, N.
(2016)
Bayesian cluster detection via adjacency modelling.
*Spatial and Spatio-Temporal Epidemiology*, 16,
pp. 11-20.
(doi:10.1016/j.sste.2015.11.005)
(PMID:26919751)

## 2014

Moodie, E. E.M., Dean, N. and Sun, Y. R.
(2014)
Q-learning: flexible learning about useful utilities.
*Statistics in Biosciences*, 6(2),
pp. 223-243.
(doi:10.1007/s12561-013-9103-z)

Anderson, C. , Lee, D. and Dean, N.
(2014)
Identifying clusters in Bayesian disease mapping.
*Biostatistics*, 15(3),
pp. 457-469.
(doi:10.1093/biostatistics/kxu005)
(PMID:24622038)

## 2013

Dean, N. and Nugent, R.
(2013)
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas.
*Advances in Data Analysis and Classification*, 7(3),
pp. 339-357.
(doi:10.1007/s11634-013-0149-z)

Chanialidis, C., Craigmile, P., Daies, V., Dean, N. , Evers, L., Filiippone, M., Gupta, M., Ray, S. and Rogers, S. (2013) Discussion of Henning and Liao: How to find an appropriate clustering for mixed type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C. 62, 309-369. Discussion Paper. UNSPECIFIED.

## 2011

Dean, N. and Nugent, R. (2011) Comparing different clustering models on the unit hypercube. In: 58th World Statistics Congress of the International Statistical Institute, Dublin, Ireland, 21-26 Aug 2011,

## 2010

Dean, N. and Raftery, A. E.
(2010)
Latent class analysis variable selection.
*Annals of the Institute of Statistical Mathematics*, 62(1),
pp. 11-35.
(doi:10.1007/s10463-009-0258-9)

Murphy, T.B., Dean, N. and Raftery, A.E.
(2010)
Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications.
*Annals of Applied Statistics*, 4(1),
pp. 396-421.
(doi:10.1214/09-AOAS279)

Nugent, R., Dean, N. and Ayers, E. (2010) Skill set profile clustering: the empty K-means algorithm with automatic specification of starting cluster centers. In: EDM2010: 3rd International Conference on Educational Data Mining, Pittsburgh, USA, 11-13 June 2010,

## 2009

Ayers, E., Nugent, R. and Dean, N. (2009) A comparison of student skill knowledge estimates. In: EDM2009: 2nd International Conference on Educational Data Mining, Cordoba, Spain, 1-3 July 2009,

Nugent, R., Elizabeth, A. and Nema, D. (2009) Conditional subspace clustering of skill mastery: identifying skills that separate students. In: EDM2009: 2nd International Conference on Educational Data Mining, Cordoba, Spain, 1-3 July 2009,

## 2008

Ayers, E., Nugent, R. and Dean, N. (2008) Skill set profile clustering based on student capability vectors computed from online tutoring data. In: EDM2008: 1st International Conference on Educational Data Mining, Montreal, Canada, 20-21 June 2008,

**Wed Jun 20 11:09:36 2018 BST**.

**18**.

## Articles

Dean, N. , Dong, G., Piekut, A. and Pryce, G.
(2018)
Frontiers in residential segregation: understanding neighbourhood boundaries and their impacts.
*Tijdschrift voor Economische en Sociale Geografie*,
(doi:10.1111/tesg.12316)
(Early Online Publication)

Flynt, A. and Dean, N.
(2017)
Growth mixture modeling with measurement selection.
*Journal of Classification*,
(Accepted for Publication)

Dean, N. and Pryce, G.
(2017)
Is the housing market blind to religion? A perceived substitutability approach to homophily and social integration.
*Urban Studies*, 54(13),
pp. 3058-3070.
(doi:10.1177/0042098016668779)

Anderson, C. , Lee, D. and Dean, N.
(2017)
Spatial clustering of average risks and risk trends in Bayesian disease mapping.
*Biometrical Journal*, 59(1),
pp. 41-56.
(doi:10.1002/bimj.201600018)
(PMID:27492753)

Martyna, A., Zadora, G., Neocleous, T., Michalska, A. and Dean, N.
(2016)
Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra.
*Analytica Chimica Acta*, 931,
pp. 34-46.
(doi:10.1016/j.aca.2016.05.016)
(PMID:27282749)

Flynt, A. and Dean, N.
(2016)
A survey of popular R packages for cluster analysis.
*Journal of Educational and Behavioral Statistics*, 41(2),
pp. 205-225.
(doi:10.3102/1076998616631743)

Anderson, C. , Lee, D. and Dean, N.
(2016)
Bayesian cluster detection via adjacency modelling.
*Spatial and Spatio-Temporal Epidemiology*, 16,
pp. 11-20.
(doi:10.1016/j.sste.2015.11.005)
(PMID:26919751)

Moodie, E. E.M., Dean, N. and Sun, Y. R.
(2014)
Q-learning: flexible learning about useful utilities.
*Statistics in Biosciences*, 6(2),
pp. 223-243.
(doi:10.1007/s12561-013-9103-z)

Anderson, C. , Lee, D. and Dean, N.
(2014)
Identifying clusters in Bayesian disease mapping.
*Biostatistics*, 15(3),
pp. 457-469.
(doi:10.1093/biostatistics/kxu005)
(PMID:24622038)

Dean, N. and Nugent, R.
(2013)
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas.
*Advances in Data Analysis and Classification*, 7(3),
pp. 339-357.
(doi:10.1007/s11634-013-0149-z)

Dean, N. and Raftery, A. E.
(2010)
Latent class analysis variable selection.
*Annals of the Institute of Statistical Mathematics*, 62(1),
pp. 11-35.
(doi:10.1007/s10463-009-0258-9)

Murphy, T.B., Dean, N. and Raftery, A.E.
(2010)
Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications.
*Annals of Applied Statistics*, 4(1),
pp. 396-421.
(doi:10.1214/09-AOAS279)

## Research Reports or Papers

Chanialidis, C., Craigmile, P., Daies, V., Dean, N. , Evers, L., Filiippone, M., Gupta, M., Ray, S. and Rogers, S. (2013) Discussion of Henning and Liao: How to find an appropriate clustering for mixed type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C. 62, 309-369. Discussion Paper. UNSPECIFIED.

## Conference Proceedings

Dean, N. and Nugent, R. (2011) Comparing different clustering models on the unit hypercube. In: 58th World Statistics Congress of the International Statistical Institute, Dublin, Ireland, 21-26 Aug 2011,

Nugent, R., Dean, N. and Ayers, E. (2010) Skill set profile clustering: the empty K-means algorithm with automatic specification of starting cluster centers. In: EDM2010: 3rd International Conference on Educational Data Mining, Pittsburgh, USA, 11-13 June 2010,

Ayers, E., Nugent, R. and Dean, N. (2009) A comparison of student skill knowledge estimates. In: EDM2009: 2nd International Conference on Educational Data Mining, Cordoba, Spain, 1-3 July 2009,

Nugent, R., Elizabeth, A. and Nema, D. (2009) Conditional subspace clustering of skill mastery: identifying skills that separate students. In: EDM2009: 2nd International Conference on Educational Data Mining, Cordoba, Spain, 1-3 July 2009,

Ayers, E., Nugent, R. and Dean, N. (2008) Skill set profile clustering based on student capability vectors computed from online tutoring data. In: EDM2008: 1st International Conference on Educational Data Mining, Montreal, Canada, 20-21 June 2008,

**Wed Jun 20 11:09:36 2018 BST**.