Nema Dean, Ph.D.
Affiliations: | 2006 | University of Washington, Seattle, Seattle, WA |
Google:
"Nema Dean"Parents
Sign in to add mentorAdrian Raftery | grad student | 2006 | University of Washington | |
(Variable selection and other extensions of the mixture model clustering framework.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Flynt A, Dean N, Nugent R. (2018) sARI: a soft agreement measure for class partitions incorporating assignment probabilities Advances in Data Analysis and Classification. 13: 303-323 |
Flynt A, Dean N. (2018) Growth Mixture Modeling with Measurement Selection Journal of Classification. 36: 3-25 |
Anderson C, Lee D, Dean N. (2016) Spatial clustering of average risks and risk trends in Bayesian disease mapping. Biometrical Journal. Biometrische Zeitschrift |
Martyna A, Zadora G, Neocleous T, et al. (2016) Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra. Analytica Chimica Acta. 931: 34-46 |
Anderson C, Lee D, Dean N. (2016) Bayesian cluster detection via adjacency modelling. Spatial and Spatio-Temporal Epidemiology. 16: 11-20 |
Flynt A, Dean N. (2016) A Survey of Popular R Packages for Cluster Analysis Journal of Educational and Behavioral Statistics. 41: 205-225 |
Anderson C, Lee D, Dean N. (2016) Bayesian cluster detection via adjacency modelling Spatial and Spatio-Temporal Epidemiology. 16: 11-20 |
Anderson C, Lee D, Dean N. (2014) Identifying clusters in Bayesian disease mapping. Biostatistics (Oxford, England). 15: 457-69 |
Dean N, Nugent R. (2013) Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas Advances in Data Analysis and Classification. 7: 339-357 |
Murphy TB, Dean N, Raftery AE. (2010) Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications. The Annals of Applied Statistics. 4: 396-421 |