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Symbolic representation of probabilistic worldsFELDMAN, Jacob.Cognition. 2012, Vol 123, Num 1, pp 61-83, issn 0010-0277, 23 p.Article

Latent lifestyle preferences and household location decisionsWALKER, Joan L; JIEPING LI.Journal of geographical systems. 2007, Vol 9, Num 1, pp 77-101, issn 1435-5930, 25 p.Article

Optimal analysis of complex protein mass spectraDIJKSTRA, Martijn; JANSEN, Ritsert C.Proteomics (Weinheim. Print). 2009, Vol 9, Num 15, pp 3869-3876, issn 1615-9853, 8 p.Article

Using mixture models for bump-hunting in the results of proficiency testsTHOMPSON, Michael.Accreditation and quality assurance. 2006, Vol 10, Num 9, pp 501-505, issn 0949-1775, 5 p.Article

SMIXTURE : strategy for mixture model clustering of multivariate imagesTRAN, Thanh N; WEHRENS, Ron; BUYDENS, Lutgarde M. C et al.Journal of chemometrics. 2005, Vol 19, Num 11-12, pp 607-614, issn 0886-9383, 8 p.Article

Spatially varying temperature trends in a central california estuaryLEMOS, Ricardo T; SANSO, Bruno; HUERTOS, Marc Los et al.Journal of agricultural, biological, and environmental statistics. 2007, Vol 12, Num 3, pp 379-396, issn 1085-7117, 18 p.Article

A Likelihood-Based Model of Fish Growth With Multiple Length Frequency DataROA-URETA, Rubén H.Journal of agricultural, biological, and environmental statistics. 2010, Vol 15, Num 3, pp 416-429, issn 1085-7117, 14 p.Article

SELDI-TOF mass spectra : A view on sources of variationDIJKSTRA, Martijn; VONK, Roel J; JANSEN, Ritsert C et al.Journal of chromatography. B. 2007, Vol 847, Num 1, pp 12-23, issn 1570-0232, 12 p.Conference Paper

Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and ApplicationsFAN, Wentao; BOUGUILA, Nizar.Neural processing letters. 2014, Vol 39, Num 2, pp 115-135, issn 1370-4621, 21 p.Article

Model-Based Classification via Mixtures of Multivariate t-Factor AnalyzersSTEANE, Michelle A; MCNICHOLAS, Paul D; YADA, Rickey Y et al.Communications in statistics. Simulation and computation. 2012, Vol 41, Num 3-5, pp 510-523, issn 0361-0918, 14 p.Article

Robust Mixture of Linear Regression ModelsBASHIR, Shaheena; CARTER, E. M.Communications in statistics. Theory and methods. 2012, Vol 41, Num 16-18, pp 3371-3388, issn 0361-0926, 18 p.Article

Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraintsINGRASSIA, Salvatore; ROCCI, Roberto.Computational statistics & data analysis. 2011, Vol 55, Num 4, pp 1715-1725, issn 0167-9473, 11 p.Article

Mixture modelling as an exploratory framework for genotype―trait associationsKINMAN AU; RONGHENG LIN; FOULKES, Andrea S et al.Applied statistics. 2011, Vol 60, Num 3, pp 355-375, issn 0035-9254, 21 p.Article

Mixtures of modified t-factor analyzers for model-based clustering, classification, and discriminant analysisANDREWS, Jeffrey L; MCNICHOLAS, Paul D.Journal of statistical planning and inference. 2011, Vol 141, Num 4, pp 1479-1486, issn 0378-3758, 8 p.Article

Bayesian semiparametric stochastic volatility modelingJENSEN, Mark J; MAHEU, John M.Journal of econometrics. 2010, Vol 157, Num 2, pp 306-316, issn 0304-4076, 11 p.Article

Parsimonious reduction of Gaussian mixture models with a variational-Bayes approachBRUNEAU, Pierrick; GELGON, Marc; PICAROUGNE, Fabien et al.Pattern recognition. 2010, Vol 43, Num 3, pp 850-858, issn 0031-3203, 9 p.Article

Learning from partially supervised data using mixture models and belief functionsCOME, E; OUKHELLOU, L; DENOEUX, T et al.Pattern recognition. 2009, Vol 42, Num 3, pp 334-348, issn 0031-3203, 15 p.Article

Independent factor discriminant analysis : Somme recent trends in applied stochastic modeling and multidimensional data analysisMONTANARI, Angela; CALO, Daniela G; VIROLI, Cinzia et al.Computational statistics & data analysis. 2008, Vol 52, Num 6, pp 3246-3254, issn 0167-9473, 9 p.Article

New modifications and applications of fuzzy C-means methodologyBERGET, Ingunn; MEVIK, Bjørn-Helge; NAES, Tormod et al.Computational statistics & data analysis. 2008, Vol 52, Num 5, pp 2403-2418, issn 0167-9473, 16 p.Article

Multiple learning modes in the development of performance on a rule-based category-learning taskSCHMITTMANN, Verena D; VISSER, Ingmar; RAIJMAKERS, Maartje E. J et al.Neuropsychologia. 2006, Vol 44, Num 11, pp 2079-2091, issn 0028-3932, 13 p.Conference Paper

Estimating heterogeneity in random effects models for longitudinal dataLEMENUEL-DIOT, A; MALLET, A; LAVEILLE, C et al.Biometrical journal. 2005, Vol 47, Num 3, pp 329-345, issn 0323-3847, 17 p.Article

Density dependence of refractive index of nanoparticle-derived titania films on glassMATTHIAS, Anja; RAICEVIC, Nevena; TCHANA, Romeo Donfeu et al.Thin solid films. 2014, Vol 558, pp 86-92, issn 0040-6090, 7 p.Article

Assessing and monitoring semi-arid shrublands using object-based image analysis and multiple endmember spectral mixture analysisHAMADA, Yuki; STOW, Douglas A; ROBERTS, Dar A et al.Environmental monitoring and assessment. 2013, Vol 185, Num 4, pp 3173-3190, issn 0167-6369, 18 p.Article

Dimensionally reduced mixtures of regression modelsMONTANARI, Angela; VIROLI, Cinzia.Journal of statistical planning and inference. 2011, Vol 141, Num 5, pp 1744-1752, issn 0378-3758, 9 p.Article

Maximum likelihood estimation from fuzzy data using the EM algorithmDENOEUX, Thierry.Fuzzy sets and systems. 2011, Vol 183, Num 1, pp 72-91, issn 0165-0114, 20 p.Article

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