Advances in Data Analysis and Classification

2008 - 2026

Current editor(s): H.-H. Bock, W. Gaul, A. Okada, M. Vichi and C. Weihs

From:
Springer
German Classification Society - Gesellschaft für Klassifikation (GfKl)
Japanese Classification Society (JCS)
Classification and Data Analysis Group of the Italian Statistical Society (CLADAG)
International Federation of Classification Societies (IFCS)
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Volume 10, issue 4, 2016

Second special issue on “Advances in latent variables: methods, models and applications” pp. 417-421

Angela Montanari and Maurizio Vichi

A mixture of generalized hyperbolic factor analyzers pp. 423-440

Cristina Tortora, Paul D. McNicholas and Ryan P. Browne

Factor probabilistic distance clustering (FPDC): a new clustering method pp. 441-464

Cristina Tortora, Mireille Gettler Summa, Marina Marino and Francesco Palumbo

Human capital estimation in higher education pp. 465-489

Pietro Giorgio Lovaglio, Gianmarco Vacca and Stefano Verzillo

Quantile composite-based path modeling pp. 491-520

Cristina Davino and Vincenzo Esposito Vinzi

Exponential family mixed membership models for soft clustering of multivariate data pp. 521-540

Arthur White and Thomas Brendan Murphy

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

Reyhaneh Rikhtehgaran and Iraj Kazemi

An effective strategy for initializing the EM algorithm in finite mixture models pp. 563-583

Semhar Michael and Volodymyr Melnykov

Volume 10, issue 2, 2016

Special issue on Advances in latent variables: methods, models and applications pp. 133-137

Angela Montanari and Maurizio Vichi

Micro–macro multilevel latent class models with multiple discrete individual-level variables pp. 139-154

Margot Bennink, Marcel A. Croon, Brigitte Kroon and Jeroen K. Vermunt

Model based clustering for mixed data: clustMD pp. 155-169

Damien McParland and Isobel Claire Gormley

Latent class model with conditional dependency per modes to cluster categorical data pp. 183-207

Matthieu Marbac, Christophe Biernacki and Vincent Vandewalle

Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models pp. 209-224

Fetene B. Tekle, Dereje W. Gudicha and Jeroen K. Vermunt

Varying uncertainty in CUB models pp. 225-244

Anna Gottard, Maria Iannario and Domenico Piccolo

Item selection by latent class-based methods: an application to nursing home evaluation pp. 245-262

Francesco Bartolucci, Giorgio E. Montanari and Silvia Pandolfi

Dynamic segmentation with growth mixture models pp. 263-279

Francesca Bassi

Volume 9, issue 4, 2015

Maximum likelihood estimation of Gaussian mixture models without matrix operations pp. 371-394

Hien Nguyen and Geoffrey McLachlan

Probabilistic assessment of model-based clustering pp. 395-422

Xuwen Zhu and Volodymyr Melnykov

Robust model-based clustering via mixtures of skew-t distributions with missing information pp. 423-445

Wan-Lun Wang and Tsung-I Lin

Improved initialisation of model-based clustering using Gaussian hierarchical partitions pp. 447-460

Luca Scrucca and Adrian Raftery

Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library pp. 461-481

Marco Riani, Andrea Cerioli, Domenico Perrotta and Francesca Torti

Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition pp. 483-502

Maria Marino and Marco Alfó

Volume 9, issue 3, 2015

A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering pp. 243-266

Naoto Yamashita and Shin-ichi Mayekawa

Probabilistic auto-associative models and semi-linear PCA pp. 267-286

Serge Iovleff

Classifying real-world data with the $${ DD}\alpha $$ D D α -procedure pp. 287-314

Pavlo Mozharovskyi, Karl Mosler and Tatjana Lange

Financial clustering in presence of dominant markets pp. 315-339

Edoardo Otranto and Romana Gargano

A diffusion model for churn prediction based on sociometric theory pp. 341-365

Uroš Droftina, Mitja Å Tular and Andrej Košir

Volume 9, issue 2, 2015

Basic statistics for distributional symbolic variables: a new metric-based approach pp. 143-175

Antonio Irpino and Rosanna Verde

Enhancing the selection of a model-based clustering with external categorical variables pp. 177-196

Jean-Patrick Baudry, Margarida Cardoso, Gilles Celeux, Maria Amorim and Ana Ferreira

Mixture model averaging for clustering pp. 197-217

Yuhong Wei and Paul McNicholas

Spline-based nonlinear biplots pp. 219-238

Patrick Groenen, Niël Roux and Sugnet Gardner-Lubbe

Volume 9, issue 1, 2015

Lasso-constrained regression analysis for interval-valued data pp. 5-19

Paolo Giordani

Trimmed fuzzy clustering for interval-valued data pp. 21-40

Pierpaolo D’Urso, Livia Giovanni and Riccardo Massari

Modeling and forecasting interval time series with threshold models pp. 41-57

Paulo Rodrigues and Nazarii Salish

Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm pp. 59-79

Meiling Chen, Huiwen Wang and Zhongfeng Qin

Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance pp. 81-106

Antonio Irpino and Rosanna Verde

Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma pp. 107-119

Christiane Guinot, Denis Malvy, Jean-François Schémann, Filipe Afonso, Raja Haddad and Edwin Diday

Volume 8, issue 4, 2014

Clustering of financial time series in risky scenarios pp. 359-376

Fabrizio Durante, Roberta Pappadà and Nicola Torelli

Feature selection for fault level diagnosis of planetary gearboxes pp. 377-401

Zhiliang Liu, Xiaomin Zhao, Ming Zuo and Hongbing Xu

A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions pp. 403-425

L. Doove, E. Dusseldorp, K. Deun and I. Mechelen

A latent class analysis of the public attitude towards the euro adoption in Poland pp. 427-442

Ewa Genge

Volume 8, issue 3, 2014

Functional data clustering: a survey pp. 231-255

Julien Jacques and Cristian Preda

Spatial functional normal mixed effect approach for curve classification pp. 257-285

Maria Ruiz-Medina, Rosa Espejo and Elvira Romano

Principal differential analysis of the Aneurisk65 data set pp. 287-302

Matilde Dalla Rosa, Laura Sangalli and Simone Vantini

Hilbertian spatial periodically correlated first order autoregressive models pp. 303-319

H. Haghbin, Z. Shishebor and A. Soltani

Simplicial band depth for multivariate functional data pp. 321-338

Sara López-Pintado, Ying Sun, Juan Lin and Marc Genton

New insights on permutation approach for hypothesis testing on functional data pp. 339-356

Livio Corain, Viatcheslav Melas, Andrey Pepelyshev and Luigi Salmaso

Volume 8, issue 2, 2014

A comparison of some criteria for states selection in the latent Markov model for longitudinal data pp. 125-145

Silvia Bacci, Silvia Pandolfi and F. Pennoni

Graphical tools for model-based mixture discriminant analysis pp. 147-165

Luca Scrucca

Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions pp. 167-193

Sanjeena Subedi and Paul McNicholas

Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy pp. 195-216

Tobias Voigt, Roland Fried, Michael Backes and Wolfgang Rhode

Estimating common principal components in high dimensions pp. 217-226

Ryan Browne and Paul McNicholas

Volume 8, issue 1, 2014

Robust clustering around regression lines with high density regions pp. 5-26

Andrea Cerioli and Domenico Perrotta

A constrained robust proposal for mixture modeling avoiding spurious solutions pp. 27-43

L. García-Escudero, A. Gordaliza and A. Mayo-Iscar

A LASSO-penalized BIC for mixture model selection pp. 45-61

Sakyajit Bhattacharya and Paul McNicholas

Classification of brain activation via spatial Bayesian variable selection in fMRI regression pp. 63-83

Stefanie Kalus, Philipp Sämann and Ludwig Fahrmeir

Mixtures of biased sentiment analysers pp. 85-103

Michael Salter-Townshend and Thomas Murphy

Latent class CUB models pp. 105-119

Leonardo Grilli, Maria Iannario, Domenico Piccolo and Carla Rampichini