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Advances in Data Analysis and Classification, Volume 10
Volume 10, Number 1, March 2016
- Editorial for issue 1/2016. 1-3

- Vincent Audigier, François Husson, Julie Josse

:
A principal component method to impute missing values for mixed data. 5-26 - Che Ngufor, Janusz Wojtusiak:

Extreme logistic regression. 27-52 - Michela Gnaldi, Silvia Bacci

, Francesco Bartolucci
:
A multilevel finite mixture item response model to cluster examinees and schools. 53-70 - Matthijs J. Warrens:

A comparison of reliability coefficients for psychometric tests that consist of two parts. 71-84 - Mingkun Chen, Evelyne Vigneau:

Supervised clustering of variables. 85-101 - Guillermo Vinué

, Amelia Simó
, Sandra Alemany
:
The k-means algorithm for 3D shapes with an application to apparel design. 103-132
Volume 10, Number 2, June 2016
- Angela Montanari, Maurizio Vichi:

Special issue on Advances in latent variables: methods, models and applications. 133-137 - Margot Bennink, Marcel A. Croon, Brigitte Kroon, Jeroen K. Vermunt

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Micro-macro multilevel latent class models with multiple discrete individual-level variables. 139-154 - Damien McParland, Isobel Claire Gormley

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Model based clustering for mixed data: clustMD. 155-169 - Daniel L. Oberski

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Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis. 171-182 - Matthieu Marbac, Christophe Biernacki

, Vincent Vandewalle:
Latent class model with conditional dependency per modes to cluster categorical data. 183-207 - Fetene B. Tekle

, Dereje W. Gudicha, Jeroen K. Vermunt
:
Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models. 209-224 - Anna Gottard, Maria Iannario

, Domenico Piccolo:
Varying uncertainty in CUB models. 225-244 - Francesco Bartolucci

, Giorgio Eduardo Montanari
, Silvia Pandolfi:
Item selection by latent class-based methods: an application to nursing home evaluation. 245-262 - Francesca Bassi

:
Dynamic segmentation with growth mixture models. 263-279
Volume 10, Number 3, September 2016
- Editorial ADAC issue 3, volume 10 (2016). 281-283

- Vincenzo Spinelli:

Pruning boxes in a box-based classification method. 285-304 - Henrik J. Nyman, Jie Xiong, Johan Pensar

, Jukka Corander:
Marginal and simultaneous predictive classification using stratified graphical models. 305-326 - Volodymyr Melnykov, Igor Melnykov

, Semhar Michael
:
Semi-supervised model-based clustering with positive and negative constraints. 327-349 - Tiziano Bellini:

The forward search interactive outlier detection in cointegrated VAR analysis. 351-373 - Hussein Hashem

, Veronica Vinciotti
, Rahim Alhamzawi
, Keming Yu
:
Quantile regression with group lasso for classification. 375-390 - Borja R. Lafuente-Rego

, José Antonio Vilar:
Clustering of time series using quantile autocovariances. 391-415
Volume 10, Number 4, December 2016
- Angela Montanari, Maurizio Vichi:

Second special issue on "Advances in latent variables: methods, models and applications". 417-421 - Cristina Tortora

, Paul D. McNicholas
, Ryan P. Browne
:
A mixture of generalized hyperbolic factor analyzers. 423-440 - Cristina Tortora

, Mireille Gettler-Summa, Marina Marino, Francesco Palumbo
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Factor probabilistic distance clustering (FPDC): a new clustering method. 441-464 - Pietro Giorgio Lovaglio

, Gianmarco Vacca, Stefano Verzillo
:
Human capital estimation in higher education. 465-489 - Cristina Davino, Vincenzo Esposito Vinzi:

Quantile composite-based path modeling. 491-520 - Arthur J. White

, Thomas Brendan Murphy:
Exponential family mixed membership models for soft clustering of multivariate data. 521-540 - Reyhaneh Rikhtehgaran, Iraj Kazemi:

The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture. 541-562 - Semhar Michael

, Volodymyr Melnykov:
An effective strategy for initializing the EM algorithm in finite mixture models. 563-583

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