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June 2020, Volume 14, Issue 2
- 379-413 Gaussian mixture modeling and model-based clustering under measurement inconsistency
by Shuchismita Sarkar & Volodymyr Melnykov & Rong Zheng - 415-434 Mixtures of skewed matrix variate bilinear factor analyzers
by Michael P. B. Gallaugher & Paul D. McNicholas - 435-461 Data projections by skewness maximization under scale mixtures of skew-normal vectors
by Jorge M. Arevalillo & Hilario Navarro - 463-484 ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification
by Nathan Cunningham & Jim E. Griffin & David L. Wild - 485-512 A stochastic block model for interaction lengths
by Riccardo Rastelli & Michael Fop
March 2020, Volume 14, Issue 1
- 5-27 Count regression trees
by Nan-Ting Liu & Feng-Chang Lin & Yu-Shan Shih - 29-56 Learning a metric when clustering data points in the presence of constraints
by Ahmad Ali Abin & Mohammad Ali Bashiri & Hamid Beigy - 57-76 Clustering genomic words in human DNA using peaks and trends of distributions
by Ana Helena Tavares & Jakob Raymaekers & Peter J. Rousseeuw & Paula Brito & Vera Afreixo - 77-96 Data clustering based on principal curves
by Elson Claudio Correa Moraes & Danton Diego Ferreira & Giovani Bernardes Vitor & Bruno Henrique Groenner Barbosa - 97-116 Ensemble of optimal trees, random forest and random projection ensemble classification
by Zardad Khan & Asma Gul & Aris Perperoglou & Miftahuddin Miftahuddin & Osama Mahmoud & Werner Adler & Berthold Lausen - 117-146 A fragmented-periodogram approach for clustering big data time series
by Jorge Caiado & Nuno Crato & Pilar Poncela - 147-173 How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models
by Johannes Blömer & Sascha Brauer & Kathrin Bujna & Daniel Kuntze - 175-199 Optimal arrangements of hyperplanes for SVM-based multiclass classification
by Víctor Blanco & Alberto Japón & Justo Puerto - 201-230 Classification using sequential order statistics
by Alexander Katzur & Udo Kamps
December 2019, Volume 13, Issue 4
- 825-853 Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions
by Hiroyasu Abe & Hiroshi Yadohisa - 855-876 Discriminant analysis for discrete variables derived from a tree-structured graphical model
by Gonzalo Perez-de-la-Cruz & Guillermina Eslava-Gomez - 877-904 Supervised learning via smoothed Polya trees
by William Cipolli & Timothy Hanson - 905-932 Robust and sparse k-means clustering for high-dimensional data
by Šárka Brodinová & Peter Filzmoser & Thomas Ortner & Christian Breiteneder & Maia Rohm - 933-963 Exploration of the variability of variable selection based on distances between bootstrap sample results
by Christian Hennig & Willi Sauerbrei - 965-990 A classification tree approach for the modeling of competing risks in discrete time
by Moritz Berger & Thomas Welchowski & Steffen Schmitz-Valckenberg & Matthias Schmid - 991-1018 Convex clustering for binary data
by Hosik Choi & Seokho Lee - 1019-1051 Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership
by Gregor Zens - 1053-1082 Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering
by Derek S. Young & Xi Chen & Dilrukshi C. Hewage & Ricardo Nilo-Poyanco - 1083-1103 A Kendall correlation coefficient between functional data
by Dalia Valencia & Rosa E. Lillo & Juan Romo
September 2019, Volume 13, Issue 3
- 591-620 Directional co-clustering
by Aghiles Salah & Mohamed Nadif - 621-639 Investigating consumers’ store-choice behavior via hierarchical variable selection
by Toshiki Sato & Yuichi Takano & Takanobu Nakahara - 641-661 Subspace clustering for the finite mixture of generalized hyperbolic distributions
by Nam-Hwui Kim & Ryan Browne - 663-682 On support vector machines under a multiple-cost scenario
by Sandra Benítez-Peña & Rafael Blanquero & Emilio Carrizosa & Pepa Ramírez-Cobo - 683-702 Regression trees for detecting preference patterns from rank data
by Yu-Shan Shih & Kuang-Hsun Liu - 703-725 Generalised linear model trees with global additive effects
by Heidi Seibold & Torsten Hothorn & Achim Zeileis - 727-751 Greedy Gaussian segmentation of multivariate time series
by David Hallac & Peter Nystrup & Stephen Boyd - 753-771 A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
by Zakariya Yahya Algamal & Muhammad Hisyam Lee - 773-795 Variable selection in discriminant analysis for mixed continuous-binary variables and several groups
by Alban Mbina Mbina & Guy Martial Nkiet & Fulgence Eyi Obiang - 797-818 Bayesian nonstationary Gaussian process models via treed process convolutions
by Waley W. J. Liang & Herbert K. H. Lee
June 2019, Volume 13, Issue 2
- 347-377 Linear components of quadratic classifiers
by José R. Berrendero & Javier Cárcamo - 379-404 Mixture model modal clustering
by José E. Chacón - 405-426 A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces
by Dawit G. Tadesse & Mark Carpenter - 427-444 Weighted distance-based trees for ranking data
by Antonella Plaia & Mariangela Sciandra - 445-480 Mixtures of restricted skew-t factor analyzers with common factor loadings
by Wan-Lun Wang & Luis M. Castro & Yen-Ting Chang & Tsung-I Lin - 481-493 Properties of Bangdiwala’s B
by Matthijs J. Warrens & Alexandra Raadt - 495-518 Comparisons among several methods for handling missing data in principal component analysis (PCA)
by Sébastien Loisel & Yoshio Takane - 519-529 A bivariate index vector for measuring departure from double symmetry in square contingency tables
by Shuji Ando & Kouji Tahata & Sadao Tomizawa - 531-557 New distance measures for classifying X-ray astronomy data into stellar classes
by Amparo Baíllo & Javier Cárcamo & Konstantin Getman - 559-583 Model-based approach for household clustering with mixed scale variables
by Christian Carmona & Luis Nieto-Barajas & Antonio Canale
March 2019, Volume 13, Issue 1
- 1-5 Special issue on “Advances on model-based clustering and classification”
by Sylvia Frühwirth-Schnatter & Salvatore Ingrassia & Agustín Mayo-Iscar - 7-31 Unifying data units and models in (co-)clustering
by Christophe Biernacki & Alexandre Lourme - 33-64 From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
by Sylvia Frühwirth-Schnatter & Gertraud Malsiner-Walli - 65-87 Clustering via finite nonparametric ICA mixture models
by Xiaotian Zhu & David R. Hunter - 89-116 Finite mixture of regression models for censored data based on scale mixtures of normal distributions
by Camila Borelli Zeller & Celso Rômulo Barbosa Cabral & Víctor Hugo Lachos & Luis Benites - 117-143 Finite mixture biclustering of discrete type multivariate data
by Daniel Fernández & Richard Arnold & Shirley Pledger & Ivy Liu & Roy Costilla - 145-173 Finite mixtures, projection pursuit and tensor rank: a triangulation
by Nicola Loperfido - 175-199 Clustering space-time series: FSTAR as a flexible STAR approach
by Edoardo Otranto & Massimo Mucciardi - 201-225 Robust clustering for functional data based on trimming and constraints
by Diego Rivera-García & Luis A. García-Escudero & Agustín Mayo-Iscar & Joaquín Ortega - 227-257 Assessing trimming methodologies for clustering linear regression data
by Francesca Torti & Domenico Perrotta & Marco Riani & Andrea Cerioli - 259-278 Variable selection in model-based clustering and discriminant analysis with a regularization approach
by Gilles Celeux & Cathy Maugis-Rabusseau & Mohammed Sedki - 279-301 Random effects clustering in multilevel modeling: choosing a proper partition
by Claudio Conversano & Massimo Cannas & Francesco Mola & Emiliano Sironi - 303-323 sARI: a soft agreement measure for class partitions incorporating assignment probabilities
by Abby Flynt & Nema Dean & Rebecca Nugent - 325-341 Studying crime trends in the USA over the years 2000–2012
by Volodymyr Melnykov & Xuwen Zhu
December 2018, Volume 12, Issue 4
- 823-825 Special issue on “Science of big data: theory, methods and applications”
by Hans A. Kestler & Paul D. McNicholas & Adalbert F. X. Wilhelm - 827-840 Ensemble of a subset of kNN classifiers
by Asma Gul & Aris Perperoglou & Zardad Khan & Osama Mahmoud & Miftahuddin Miftahuddin & Werner Adler & Berthold Lausen - 841-865 Understanding non-linear modeling of measurement invariance in heterogeneous populations
by Deana Desa - 867-883 A comparative study on large scale kernelized support vector machines
by Daniel Horn & Aydın Demircioğlu & Bernd Bischl & Tobias Glasmachers & Claus Weihs - 885-915 A computationally fast variable importance test for random forests for high-dimensional data
by Silke Janitza & Ender Celik & Anne-Laure Boulesteix - 917-936 Rank-based classifiers for extremely high-dimensional gene expression data
by Ludwig Lausser & Florian Schmid & Lyn-Rouven Schirra & Adalbert F. X. Wilhelm & Hans A. Kestler - 937-952 Ensemble feature selection for high dimensional data: a new method and a comparative study
by Afef Ben Brahim & Mohamed Limam - 953-972 An efficient random forests algorithm for high dimensional data classification
by Qiang Wang & Thanh-Tung Nguyen & Joshua Z. Huang & Thuy Thi Nguyen - 973-995 Equi-Clustream: a framework for clustering time evolving mixed data
by Ravi Sankar Sangam & Hari Om
September 2018, Volume 12, Issue 3
- 455-488 Mutual information, phi-squared and model-based co-clustering for contingency tables
by Gérard Govaert & Mohamed Nadif - 489-508 Model selection for Gaussian latent block clustering with the integrated classification likelihood
by Aurore Lomet & Gérard Govaert & Yves Grandvalet - 509-536 Discovering patterns in time-varying graphs: a triclustering approach
by Romain Guigourès & Marc Boullé & Fabrice Rossi - 537-558 Cluster-based sparse topical coding for topic mining and document clustering
by Parvin Ahmadi & Iman Gholampour & Mahmoud Tabandeh - 559-585 Sparsest factor analysis for clustering variables: a matrix decomposition approach
by Kohei Adachi & Nickolay T. Trendafilov - 587-603 Minimum distance method for directional data and outlier detection
by Mercedes Fernandez Sau & Daniela Rodriguez - 605-636 Statistical inference in constrained latent class models for multinomial data based on $$\phi $$ ϕ -divergence measures
by A. Felipe & N. Martín & P. Miranda & L. Pardo - 637-656 A divisive clustering method for functional data with special consideration of outliers
by Ana Justel & Marcela Svarc - 657-682 Signal classification with a point process distance on the space of persistence diagrams
by Andrew Marchese & Vasileios Maroulas - 683-704 Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range
by Juana-María Vivo & Manuel Franco & Donatella Vicari - 705-735 Archetypal shapes based on landmarks and extension to handle missing data
by Irene Epifanio & María Victoria Ibáñez & Amelia Simó - 737-758 Tree-structured modelling of categorical predictors in generalized additive regression
by Gerhard Tutz & Moritz Berger - 759-784 Non-symmetrical composite-based path modeling
by Pasquale Dolce & Vincenzo Esposito Vinzi & Natale Carlo Lauro - 785-822 Outlier detection in interval data
by A. Pedro Duarte Silva & Peter Filzmoser & Paula Brito
June 2018, Volume 12, Issue 2
- 179-202 Probabilistic clustering via Pareto solutions and significance tests
by María Teresa Gallegos & Gunter Ritter - 203-233 Eigenvalues and constraints in mixture modeling: geometric and computational issues
by Luis Angel García-Escudero & Alfonso Gordaliza & Francesca Greselin & Salvatore Ingrassia & Agustín Mayo-Iscar - 235-260 A data driven equivariant approach to constrained Gaussian mixture modeling
by Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari - 261-284 Clustering of imbalanced high-dimensional media data
by Šárka Brodinová & Maia Zaharieva & Peter Filzmoser & Thomas Ortner & Christian Breiteneder - 285-313 Clusterwise analysis for multiblock component methods
by Stéphanie Bougeard & Hervé Abdi & Gilbert Saporta & Ndèye Niang - 315-339 Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations
by Kenichi Hayashi - 341-363 Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier
by Karim Abou-Moustafa & Frank P. Ferrie - 365-397 Unsupervised classification of children’s bodies using currents
by Sonia Barahona & Ximo Gual-Arnau & Maria Victoria Ibáñez & Amelia Simó - 399-423 A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
by Alessandra Guglielmi & Francesca Ieva & Anna Maria Paganoni & Fernardo A. Quintana - 425-447 D-trace estimation of a precision matrix using adaptive Lasso penalties
by Vahe Avagyan & Andrés M. Alonso & Francisco J. Nogales
March 2018, Volume 12, Issue 1
- 1-4 Editorial for Special Issue on Analysis of Asymmetric Relationships
by Giuseppe Bove & Akinori Okada - 5-31 Methods for the analysis of asymmetric pairwise relationships
by Giuseppe Bove & Akinori Okada - 33-41 Skew symmetry in retrospect
by John C. Gower - 43-64 CLUSKEXT: CLUstering model for SKew-symmetric data including EXTernal information
by Donatella Vicari - 65-105 Hierarchical clustering of asymmetric networks
by Gunnar Carlsson & Facundo Mémoli & Alejandro Ribeiro & Santiago Segarra - 107-130 Transitional modeling of experimental longitudinal data with missing values
by Mark Rooij - 131-153 Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring
by Marti Sagarra & Frank M. T. A. Busing & Cecilio Mar-Molinero & Josep Rialp - 155-171 Relating brand confusion to ad similarities and brand strengths through image data analysis and classification
by Daniel Baier & Sarah Frost
December 2017, Volume 11, Issue 4
- 645-657 Fuzzy data analysis and classification
by Pierpaolo D’Urso & María Ángeles Gil - 659-690 Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression
by Benjamin Quost & Thierry Denœux & Shoumei Li - 691-710 A fuzzy approach to robust regression clustering
by Francesco Dotto & Alessio Farcomeni & Luis Angel García-Escudero & Agustín Mayo-Iscar - 711-730 Fuzzy rule based classification systems for big data with MapReduce: granularity analysis
by Alberto Fernández & Sara Río & Abdullah Bawakid & Francisco Herrera - 731-758 Robust scale estimators for fuzzy data
by Sara de la Rosa de Sáa & María Asunción Lubiano & Beatriz Sinova & Peter Filzmoser - 759-783 A novel method for forecasting time series based on fuzzy logic and visibility graph
by Rong Zhang & Baabak Ashuri & Yong Deng - 785-808 On ill-conceived initialization in archetypal analysis
by Abdul Suleman
September 2017, Volume 11, Issue 3
- 445-466 Multivariate and functional classification using depth and distance
by Mia Hubert & Peter Rousseeuw & Pieter Segaert - 467-492 Benchmarking different clustering algorithms on functional data
by Christina Yassouridis & Friedrich Leisch - 493-518 Constrained clustering with a complex cluster structure
by Marek Śmieja & Magdalena Wiercioch - 519-546 A fuzzy neural network based framework to discover user access patterns from web log data
by Zahid A. Ansari & Syed Abdul Sattar & A. Vinaya Babu - 547-561 Dense traffic flow patterns mining in bi-directional road networks using density based trajectory clustering
by Vaishali Mirge & Kesari Verma & Shubhrata Gupta - 563-591 Disjoint factor analysis with cross-loadings
by Maurizio Vichi - 593-609 General location model with factor analyzer covariance matrix structure and its applications
by Leila Amiri & Mojtaba Khazaei & Mojtaba Ganjali - 611-627 Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search
by E. Emary & Hossam M. Zawbaa & Aboul Ella Hassanien & B. Parv - 629-643 A new approach for determining the prior probabilities in the classification problem by Bayesian method
by Thao Nguyen-Trang & Tai Vo-Van
June 2017, Volume 11, Issue 2
- 223-241 Exploratory data analysis for interval compositional data
by Karel Hron & Paula Brito & Peter Filzmoser - 243-279 Model-based regression clustering for high-dimensional data: application to functional data
by Emilie Devijver - 281-305 Mixture models for ordinal responses to account for uncertainty of choice
by Gerhard Tutz & Micha Schneider & Maria Iannario & Domenico Piccolo - 307-326 Logistic biplot for nominal data
by Julio César Hernández-Sánchez & José Luis Vicente-Villardón - 327-351 Principal component analysis for histogram-valued data
by J. Le-Rademacher & L. Billard - 353-370 T3C: improving a decision tree classification algorithm’s interval splits on continuous attributes
by Panagiotis Tzirakis & Christos Tjortjis - 371-393 ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions
by Stephen L. France & Wen Chen & Yumin Deng - 395-414 A sequential distance-based approach for imputing missing data: Forward Imputation
by Nadia Solaro & Alessandro Barbiero & Giancarlo Manzi & Pier Alda Ferrari - 415-439 Backtransformation: a new representation of data processing chains with a scalar decision function
by Mario Michael Krell & Sirko Straube
December 2016, Volume 10, Issue 4
- 417-421 Second special issue on “Advances in latent variables: methods, models and applications”
by Angela Montanari & Maurizio Vichi - 423-440 A mixture of generalized hyperbolic factor analyzers
by Cristina Tortora & Paul D. McNicholas & Ryan P. Browne - 441-464 Factor probabilistic distance clustering (FPDC): a new clustering method
by Cristina Tortora & Mireille Gettler Summa & Marina Marino & Francesco Palumbo - 465-489 Human capital estimation in higher education
by Pietro Giorgio Lovaglio & Gianmarco Vacca & Stefano Verzillo - 491-520 Quantile composite-based path modeling
by Cristina Davino & Vincenzo Esposito Vinzi - 521-540 Exponential family mixed membership models for soft clustering of multivariate data
by Arthur White & Thomas Brendan Murphy - 541-562 The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture
by Reyhaneh Rikhtehgaran & Iraj Kazemi - 563-583 An effective strategy for initializing the EM algorithm in finite mixture models
by Semhar Michael & Volodymyr Melnykov
June 2016, Volume 10, Issue 2
- 133-137 Special issue on Advances in latent variables: methods, models and applications
by Angela Montanari & Maurizio Vichi - 139-154 Micro–macro multilevel latent class models with multiple discrete individual-level variables
by Margot Bennink & Marcel A. Croon & Brigitte Kroon & Jeroen K. Vermunt - 155-169 Model based clustering for mixed data: clustMD
by Damien McParland & Isobel Claire Gormley - 183-207 Latent class model with conditional dependency per modes to cluster categorical data
by Matthieu Marbac & Christophe Biernacki & Vincent Vandewalle - 209-224 Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models
by Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt - 225-244 Varying uncertainty in CUB models
by Anna Gottard & Maria Iannario & Domenico Piccolo - 245-262 Item selection by latent class-based methods: an application to nursing home evaluation
by Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi - 263-279 Dynamic segmentation with growth mixture models
by Francesca Bassi
December 2015, Volume 9, Issue 4
- 371-394 Maximum likelihood estimation of Gaussian mixture models without matrix operations
by Hien Nguyen & Geoffrey McLachlan - 395-422 Probabilistic assessment of model-based clustering
by Xuwen Zhu & Volodymyr Melnykov - 423-445 Robust model-based clustering via mixtures of skew-t distributions with missing information
by Wan-Lun Wang & Tsung-I Lin - 447-460 Improved initialisation of model-based clustering using Gaussian hierarchical partitions
by Luca Scrucca & Adrian Raftery - 461-481 Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library
by Marco Riani & Andrea Cerioli & Domenico Perrotta & Francesca Torti - 483-502 Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition
by Maria Marino & Marco Alfó
September 2015, Volume 9, Issue 3
- 243-266 A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering
by Naoto Yamashita & Shin-ichi Mayekawa - 267-286 Probabilistic auto-associative models and semi-linear PCA
by Serge Iovleff - 287-314 Classifying real-world data with the $${ DD}\alpha $$ D D α -procedure
by Pavlo Mozharovskyi & Karl Mosler & Tatjana Lange - 315-339 Financial clustering in presence of dominant markets
by Edoardo Otranto & Romana Gargano - 341-365 A diffusion model for churn prediction based on sociometric theory
by Uroš Droftina & Mitja Å tular & Andrej Košir
June 2015, Volume 9, Issue 2
- 143-175 Basic statistics for distributional symbolic variables: a new metric-based approach
by Antonio Irpino & Rosanna Verde - 177-196 Enhancing the selection of a model-based clustering with external categorical variables
by Jean-Patrick Baudry & Margarida Cardoso & Gilles Celeux & Maria Amorim & Ana Ferreira - 197-217 Mixture model averaging for clustering
by Yuhong Wei & Paul McNicholas - 219-238 Spline-based nonlinear biplots
by Patrick Groenen & Niël Roux & Sugnet Gardner-Lubbe
March 2015, Volume 9, Issue 1
- 5-19 Lasso-constrained regression analysis for interval-valued data
by Paolo Giordani - 21-40 Trimmed fuzzy clustering for interval-valued data
by Pierpaolo D’Urso & Livia Giovanni & Riccardo Massari - 41-57 Modeling and forecasting interval time series with threshold models
by Paulo Rodrigues & Nazarii Salish - 59-79 Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm
by Meiling Chen & Huiwen Wang & Zhongfeng Qin - 81-106 Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance
by Antonio Irpino & Rosanna Verde - 107-119 Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma
by Christiane Guinot & Denis Malvy & Jean-François Schémann & Filipe Afonso & Raja Haddad & Edwin Diday
December 2014, Volume 8, Issue 4
- 359-376 Clustering of financial time series in risky scenarios
by Fabrizio Durante & Roberta Pappadà & Nicola Torelli - 377-401 Feature selection for fault level diagnosis of planetary gearboxes
by Zhiliang Liu & Xiaomin Zhao & Ming Zuo & Hongbing Xu - 403-425 A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions
by L. Doove & E. Dusseldorp & K. Deun & I. Mechelen - 427-442 A latent class analysis of the public attitude towards the euro adoption in Poland
by Ewa Genge
September 2014, Volume 8, Issue 3
- 231-255 Functional data clustering: a survey
by Julien Jacques & Cristian Preda - 257-285 Spatial functional normal mixed effect approach for curve classification
by Maria Ruiz-Medina & Rosa Espejo & Elvira Romano - 287-302 Principal differential analysis of the Aneurisk65 data set
by Matilde Dalla Rosa & Laura Sangalli & Simone Vantini - 303-319 Hilbertian spatial periodically correlated first order autoregressive models
by H. Haghbin & Z. Shishebor & A. Soltani - 321-338 Simplicial band depth for multivariate functional data
by Sara López-Pintado & Ying Sun & Juan Lin & Marc Genton - 339-356 New insights on permutation approach for hypothesis testing on functional data
by Livio Corain & Viatcheslav Melas & Andrey Pepelyshev & Luigi Salmaso
June 2014, Volume 8, Issue 2
- 125-145 A comparison of some criteria for states selection in the latent Markov model for longitudinal data
by S. Bacci & S. Pandolfi & F. Pennoni - 147-165 Graphical tools for model-based mixture discriminant analysis
by Luca Scrucca - 167-193 Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
by Sanjeena Subedi & Paul McNicholas - 195-216 Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy
by Tobias Voigt & Roland Fried & Michael Backes & Wolfgang Rhode - 217-226 Estimating common principal components in high dimensions
by Ryan Browne & Paul McNicholas
March 2014, Volume 8, Issue 1
- 5-26 Robust clustering around regression lines with high density regions
by Andrea Cerioli & Domenico Perrotta - 27-43 A constrained robust proposal for mixture modeling avoiding spurious solutions
by L. García-Escudero & A. Gordaliza & A. Mayo-Iscar - 45-61 A LASSO-penalized BIC for mixture model selection
by Sakyajit Bhattacharya & Paul McNicholas - 63-83 Classification of brain activation via spatial Bayesian variable selection in fMRI regression
by Stefanie Kalus & Philipp Sämann & Ludwig Fahrmeir - 85-103 Mixtures of biased sentiment analysers
by Michael Salter-Townshend & Thomas Murphy - 105-119 Latent class CUB models
by Leonardo Grilli & Maria Iannario & Domenico Piccolo & Carla Rampichini
December 2013, Volume 7, Issue 4
- 363-391 Lagrangian relaxation and pegging test for the clique partitioning problem
by Noriyoshi Sukegawa & Yoshitsugu Yamamoto & Liyuan Zhang - 393-416 Multinomial logit models with implicit variable selection
by Faisal Zahid & Gerhard Tutz - 417-433 A class of semi-supervised support vector machines by DC programming
by Liming Yang & Laisheng Wang - 435-464 Energy-based function to evaluate data stream clustering
by Marcelo Albertini & Rodrigo Mello - 465-489 Infinite Dirichlet mixture models learning via expectation propagation
by Wentao Fan & Nizar Bouguila
September 2013, Volume 7, Issue 3
- 241-266 On mixtures of skew normal and skew $$t$$ -distributions
by Sharon Lee & Geoffrey McLachlan - 267-279 A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
by Daniel Oberski & Geert Kollenburg & Jeroen Vermunt - 281-300 Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
by Anastasios Bellas & Charles Bouveyron & Marie Cottrell & Jérôme Lacaille - 301-319 Model-based clustering of probability density functions
by Angela Montanari & Daniela Calò - 321-338 Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions
by Katherine Morris & Paul McNicholas & Luca Scrucca - 339-357 Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas
by Nema Dean & Rebecca Nugent
June 2013, Volume 7, Issue 2
- 125-145 Interpretable clustering using unsupervised binary trees
by Ricardo Fraiman & Badih Ghattas & Marcela Svarc - 147-179 Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification
by Susanna Röblitz & Marcus Weber - 181-208 A clustering ensemble framework based on elite selection of weighted clusters
by Hamid Parvin & Behrouz Minaei-Bidgoli - 209-235 An isotonic trivariate statistical regression method
by Simone Fiori
March 2013, Volume 7, Issue 1
- 5-40 Clustering and classification via cluster-weighted factor analyzers
by Sanjeena Subedi & Antonio Punzo & Salvatore Ingrassia & Paul McNicholas