Printed from https://ideas.repec.org/s/spr/advdac.html
Content
September 2023, Volume 17, Issue 3
- 545-548 Editorial for ADAC issue 3 of volume 17 (2023)
by Maurizio Vichi & Andrea Cerioli & Hans A. Kestler & Akinori Okada & Claus Weihs - 549-581 Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks
by Licheng Zhao & Yi Zuo & Katsutoshi Yada - 583-621 Robust regression for interval-valued data based on midpoints and log-ranges
by Qing Zhao & Huiwen Wang & Shanshan Wang - 623-657 Clustering with missing data: which equivalent for Rubin’s rules?
by Vincent Audigier & Ndèye Niang - 659-699 New models for symbolic data analysis
by Boris Beranger & Huan Lin & Scott Sisson - 701-724 Benchmarking distance-based partitioning methods for mixed-type data
by Efthymios Costa & Ioanna Papatsouma & Angelos Markos - 725-744 On smoothing and scaling language model for sentiment based information retrieval
by Fatma Najar & Nizar Bouguila - 745-775 Semiparametric finite mixture of regression models with Bayesian P-splines
by Marco Berrettini & Giuliano Galimberti & Saverio Ranciati - 777-800 A structured covariance ensemble for sufficient dimension reduction
by Qin Wang & Yuan Xue - 801-822 A dual subspace parsimonious mixture of matrix normal distributions
by Alex Sharp & Glen Chalatov & Ryan P. Browne
June 2023, Volume 17, Issue 2
- 287-290 Editorial for ADAC issue 2 of volume 17 (2023)
by Maurizio Vichi & Andrea Cerioli & Hans A. Kestler & Akinori Okada & Claus Weihs - 291-321 Basis expansion approaches for functional analysis of variance with repeated measures
by Christian Acal & Ana M. Aguilera - 323-345 Modal clustering of matrix-variate data
by Federico Ferraccioli & Giovanna Menardi - 347-367 Principal component analysis constrained by layered simple structures
by Naoto Yamashita - 369-406 Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database
by Jan Vávra & Arnošt Komárek - 407-429 On mathematical optimization for clustering categories in contingency tables
by Emilio Carrizosa & Vanesa Guerrero & Dolores Romero Morales - 431-461 Mixed-effect models with trees
by Anna Gottard & Giulia Vannucci & Leonardo Grilli & Carla Rampichini - 463-484 Band depth based initialization of K-means for functional data clustering
by Javier Albert-Smet & Aurora Torrente & Juan Romo - 485-517 Localization processes for functional data analysis
by Antonio Elías & Raúl Jiménez & J. E. Yukich - 519-543 Nonparametric regression and classification with functional, categorical, and mixed covariates
by Leonie Selk & Jan Gertheiss
March 2023, Volume 17, Issue 1
- 1-4 Editorial for ADAC issue 1 of volume 17 (2023)
by Maurizio Vichi & Andrea Cerioli & Hans A. Kestler & Akinori Okada & Claus Weihs - 5-19 CenetBiplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD
by Nerea González-García & Ana Belén Nieto-Librero & Purificación Galindo-Villardón - 21-42 Assessing similarities between spatial point patterns with a Siamese neural network discriminant model
by Abdollah Jalilian & Jorge Mateu - 43-73 Optimal projections for Gaussian discriminants
by David P. Hofmeyr & Francois Kamper & Michail C. Melonas - 75-107 Clusterwise elastic-net regression based on a combined information criterion
by Xavier Bry & Ndèye Niang & Thomas Verron & Stéphanie Bougeard - 109-124 Notes on the H-measure of classifier performance
by D. J. Hand & C. Anagnostopoulos - 125-133 Minimum adjusted Rand index for two clusterings of a given size
by José E. Chacón & Ana I. Rastrojo - 135-162 Poisson degree corrected dynamic stochastic block model
by Paul Riverain & Simon Fossier & Mohamed Nadif - 163-179 Early identification of biliary atresia using subspace and the bootstrap methods
by Kuniyoshi Hayashi & Eri Hoshino & Mitsuyoshi Suzuki & Kotomi Sakai & Masayuki Obatake & Osamu Takahashi - 181-210 Robust mixture regression modeling based on two-piece scale mixtures of normal distributions
by Atefeh Zarei & Zahra Khodadadi & Mohsen Maleki & Karim Zare - 211-238 Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study
by Theresa Ullmann & Anna Beer & Maximilian Hünemörder & Thomas Seidl & Anne-Laure Boulesteix - 239-267 Kurtosis removal for data pre-processing
by Nicola Loperfido - 269-286 Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint
by Rosember Guerra-Urzola & Niek C. Schipper & Anya Tonne & Klaas Sijtsma & Juan C. Vera & Katrijn Deun
December 2022, Volume 16, Issue 4
- 817-821 Editorial for ADAC issue 4 of volume 16 (2022)
by Maurizio Vichi & Andrea Ceroli & Hans A. Kestler & Akinori Okada & Claus Weihs - 823-846 Is there a role for statistics in artificial intelligence?
by Sarah Friedrich & Gerd Antes & Sigrid Behr & Harald Binder & Werner Brannath & Florian Dumpert & Katja Ickstadt & Hans A. Kestler & Johannes Lederer & Heinz Leitgöb & Markus Pauly & Ansgar Steland & Adalbert Wilhelm & Tim Friede - 847-874 SUBiNN: a stacked uni- and bivariate kNN sparse ensemble
by Tiffany Elsten & Mark Rooij - 875-907 A comparison of two dissimilarity functions for mixed-type predictor variables in the $$\delta $$ δ -machine
by Beibei Yuan & Willem Heiser & Mark Rooij - 909-949 Quantile composite-based path modeling: algorithms, properties and applications
by Pasquale Dolce & Cristina Davino & Domenico Vistocco - 951-975 Sparse dimension reduction based on energy and ball statistics
by Emmanuel Jordy Menvouta & Sven Serneels & Tim Verdonck - 977-999 The minimum weighted covariance determinant estimator for high-dimensional data
by Jan Kalina & Jan Tichavský - 1001-1037 Least-squares bilinear clustering of three-way data
by Pieter C. Schoonees & Patrick J. F. Groenen & Michel Velden - 1039-1067 Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space
by Vladimir Shenmaier - 1069-1093 Independence versus indetermination: basis of two canonical clustering criteria
by Pierre Bertrand & Michel Broniatowski & Jean-François Marcotorchino - 1095-1095 Correction to: Robust optimal classification trees under noisy labels
by Victor Blanco & Alberto Japón & Justo Puerto - 1097-1097 Correction to: Multivariate cluster weighted models using skewed distributions
by Michael P. B. Gallaugher & Salvatore D. Tomarchio & Paul D. McNicholas & Antonio Punzo - 1099-1100 Correction to: Principal component analysis constrained by layered simple structures
by Naoto Yamashita
September 2022, Volume 16, Issue 3
- 487-490 Editorial for ADAC issue 3 of volume 16 (2022)
by Maurizio Vichi & Andrea Ceroli & Hans A. Kestler & Akinori Okada & Claus Weihs - 491-520 Association measures for interval variables
by M. Rosário Oliveira & Margarida Azeitona & António Pacheco & Rui Valadas - 521-557 Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
by Francisco H. C. Alencar & Christian E. Galarza & Larissa A. Matos & Victor H. Lachos - 559-591 Prediction of brand stories spreading on social networks
by Thi Bich Ngoc Hoang & Josiane Mothe - 593-616 Mining maximal frequent rectangles
by Irani Hazarika & Anjana Kakoti Mahanta - 617-657 A fingerprint of a heterogeneous data set
by Matteo Spallanzani & Gueorgui Mihaylov & Marco Prato & Roberto Fontana - 659-690 Robust clustering via mixtures of t factor analyzers with incomplete data
by Wan-Lun Wang & Tsung-I Lin - 691-723 Model-based clustering for random hypergraphs
by Tin Lok James Ng & Thomas Brendan Murphy - 725-760 Detecting and classifying outliers in big functional data
by Oluwasegun Taiwo Ojo & Antonio Fernández Anta & Rosa E. Lillo & Carlo Sguera - 761-796 Nonparametric estimation of directional highest density regions
by Paula Saavedra-Nieves & Rosa M. Crujeiras - 797-815 Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning
by Cynthia Huber & Norbert Benda & Tim Friede
June 2022, Volume 16, Issue 2
- 231-234 Special issue on “Models and learning for clustering and Classification”
by Salvatore Ingrassia & Julien Jacques & Weixin Yao - 235-271 Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models
by Ewa Genge & Francesco Bartolucci - 273-300 A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
by Roberto Mari & Antonello Maruotti - 301-324 Robust logistic zero-sum regression for microbiome compositional data
by G. S. Monti & P. Filzmoser - 325-349 How many data clusters are in the Galaxy data set?
by Bettina Grün & Gertraud Malsiner-Walli & Sylvia Frühwirth-Schnatter - 351-371 A new three-step method for using inverse propensity weighting with latent class analysis
by F. J. Clouth & S. Pauws & F. Mols & J. K. Vermunt - 373-398 Factor and hybrid components for model-based clustering
by Jason Hou-Liu & Ryan P. Browne - 399-427 Gaussian mixture model with an extended ultrametric covariance structure
by Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria - 429-455 A von Mises–Fisher mixture model for clustering numerical and categorical variables
by Xavier Bry & Lionel Cucala - 457-485 Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
by Giorgio Eduardo Montanari & Marco Doretti & Maria Francesca Marino
March 2022, Volume 16, Issue 1
- 1-3 Editorial for ADAC issue 1 of volume 16 (2022)
by Salvatore Ingrassia & Julien Jacques & Weixin Yao - 5-30 Model-based clustering and outlier detection with missing data
by Hung Tong & Cristina Tortora - 31-53 Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets
by Robin Fuchs & Denys Pommeret & Cinzia Viroli - 55-92 Unobserved classes and extra variables in high-dimensional discriminant analysis
by Michael Fop & Pierre-Alexandre Mattei & Charles Bouveyron & Thomas Brendan Murphy - 93-124 Multivariate cluster weighted models using skewed distributions
by Michael P. B. Gallaugher & Salvatore D. Tomarchio & Paul D. McNicholas & Antonio Punzo - 125-154 Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter
by Mingxing He & Jiahua Chen - 155-179 Robust optimal classification trees under noisy labels
by Victor Blanco & Alberto Japón & Justo Puerto - 181-199 Robust clustering of functional directional data
by Pedro C. Álvarez-Esteban & Luis A. García-Escudero - 201-229 An empirical comparison and characterisation of nine popular clustering methods
by Christian Hennig
December 2021, Volume 15, Issue 4
- 825-828 Editorial for ADAC issue 4 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans A. Kestler & Akinori Okada & Claus Weihs - 829-868 PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning
by Alexandre L. M. Levada - 869-909 Robust regression with compositional covariates including cellwise outliers
by Nikola Štefelová & Andreas Alfons & Javier Palarea-Albaladejo & Peter Filzmoser & Karel Hron - 911-936 Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification
by Roberto Medico & Joeri Ruyssinck & Dirk Deschrijver & Tom Dhaene - 937-956 Nonlinear dimension reduction for conditional quantiles
by Eliana Christou & Annabel Settle & Andreas Artemiou - 957-986 Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
by Etienne Côme & Nicolas Jouvin & Pierre Latouche & Charles Bouveyron - 987-1013 REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction
by Zaheer Ahmed & Alberto Cassese & Gerard Breukelen & Jan Schepers - 1015-1037 Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings
by Antonella Plaia & Simona Buscemi & Mariangela Sciandra - 1039-1068 Estimating the class prior for positive and unlabelled data via logistic regression
by Małgorzata Łazęcka & Jan Mielniczuk & Paweł Teisseyre - 1069-1102 A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization
by Andri Mirzal
September 2021, Volume 15, Issue 3
- 543-546 Editorial for ADAC issue 3 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 547-573 Adaptive sparse group LASSO in quantile regression
by Alvaro Mendez-Civieta & M. Carmen Aguilera-Morillo & Rosa E. Lillo - 575-597 A novel dictionary learning method based on total least squares approach with application in high dimensional biological data
by Parvaneh Parvasideh & Mansoor Rezghi - 599-623 Better than the best? Answers via model ensemble in density-based clustering
by Alessandro Casa & Luca Scrucca & Giovanna Menardi - 625-671 Sparse group fused lasso for model segmentation: a hybrid approach
by David Degras - 673-699 A Riemannian geometric framework for manifold learning of non-Euclidean data
by Cheongjae Jang & Yung-Kyun Noh & Frank Chongwoo Park - 701-734 Robust semiparametric inference for polytomous logistic regression with complex survey design
by Elena Castilla & Abhik Ghosh & Nirian Martin & Leandro Pardo - 735-757 Functional data clustering by projection into latent generalized hyperbolic subspaces
by Alex Sharp & Ryan Browne - 759-793 A bivariate finite mixture growth model with selection
by David Aristei & Silvia Bacci & Francesco Bartolucci & Silvia Pandolfi - 795-823 Sparse principal component regression via singular value decomposition approach
by Shuichi Kawano
June 2021, Volume 15, Issue 2
- 261-265 Editorial for ADAC issue 2 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 267-288 M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data
by Beatriz Sinova & Stefan Van Aelst & Pedro Terán - 289-313 Isotonic boosting classification rules
by David Conde & Miguel A. Fernández & Cristina Rueda & Bonifacio Salvador - 315-336 Regime dependent interconnectedness among fuzzy clusters of financial time series
by Giovanni De Luca & Paola Zuccolotto - 337-377 Active learning of constraints for weighted feature selection
by Samah Hijazi & Denis Hamad & Mariam Kalakech & Ali Kalakech - 379-405 A bias-variance analysis of state-of-the-art random forest text classifiers
by Thiago Salles & Leonardo Rocha & Marcos Gonçalves - 407-436 Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
by Kadri Umbleja & Manabu Ichino & Hiroyuki Yaguchi - 437-462 Robust archetypoids for anomaly detection in big functional data
by Guillermo Vinue & Irene Epifanio - 463-480 A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data
by André Müller & Ludwig Lausser & Adalbert Wilhelm & Timo Ropinski & Matthias Platzer & Heiko Neumann & Hans A. Kestler - 481-512 Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions
by Sharon X. Lee & Tsung-I Lin & Geoffrey J. McLachlan - 513-541 Clustering of modal-valued symbolic data
by Nataša Kejžar & Simona Korenjak-Černe & Vladimir Batagelj
March 2021, Volume 15, Issue 1
- 1-4 Editorial for ADAC issue 1 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 5-36 Interval forecasts based on regression trees for streaming data
by Xin Zhao & Stuart Barber & Charles C. Taylor & Zoka Milan - 37-56 From-below Boolean matrix factorization algorithm based on MDL
by Tatiana Makhalova & Martin Trnecka - 57-81 A robust spatial autoregressive scalar-on-function regression with t-distribution
by Tingting Huang & Gilbert Saporta & Huiwen Wang & Shanshan Wang - 83-98 A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem
by Rudolf Scitovski & Kristian Sabo - 99-119 Efficient regularized spectral data embedding
by Lazhar Labiod & Mohamed Nadif - 121-158 A cost-sensitive constrained Lasso
by Rafael Blanquero & Emilio Carrizosa & Pepa Ramírez-Cobo & M. Remedios Sillero-Denamiel - 159-191 A novel semi-supervised support vector machine with asymmetric squared loss
by Huimin Pei & Qiang Lin & Liran Yang & Ping Zhong - 193-208 Kappa coefficients for dichotomous-nominal classifications
by Matthijs J. Warrens - 209-229 Clustering discrete-valued time series
by Tyler Roick & Dimitris Karlis & Paul D. McNicholas - 231-260 Simultaneous dimension reduction and clustering via the NMF-EM algorithm
by Léna Carel & Pierre Alquier
December 2020, Volume 14, Issue 4
- 747-757 Data generation for composite-based structural equation modeling methods
by Rainer Schlittgen & Marko Sarstedt & Christian M. Ringle - 759-770 Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data
by Laura Anderlucci & Cinzia Viroli - 771-784 On the use of quantile regression to deal with heterogeneity: the case of multi-block data
by Cristina Davino & Rosaria Romano & Domenico Vistocco - 785-799 Editable machine learning models? A rule-based framework for user studies of explainability
by Stanislav Vojíř & Tomáš Kliegr - 801-819 A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
by Yanou Ramon & David Martens & Foster Provost & Theodoros Evgeniou - 821-835 A process framework for inducing and explaining Datalog theories
by Mark Gromowski & Michael Siebers & Ute Schmid - 837-853 The ultrametric correlation matrix for modelling hierarchical latent concepts
by Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria - 855-869 SEM-Tree hybrid models in the preferences analysis of the members of Polish households
by Adam Sagan & Mariusz Łapczyński - 871-884 Chained correlations for feature selection
by Ludwig Lausser & Robin Szekely & Hans A. Kestler - 885-896 Adapted single-cell consensus clustering (adaSC3)
by Cornelia Fuetterer & Thomas Augustin & Christiane Fuchs - 897-925 Automatic gait classification patterns in spastic hemiplegia
by Ana Aguilera & Alberto Subero - 927-945 Predicting brand confusion in imagery markets based on deep learning of visual advertisement content
by Atsuho Nakayama & Daniel Baier - 947-982 The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers
by Kamila Migdał-Najman & Krzysztof Najman & Sylwia Badowska
September 2020, Volume 14, Issue 3
- 513-515 Editorial for ADAC issue 3 of volume 14 (2020)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 517-542 Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model
by Gerhard Tutz - 543-570 Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data
by Khadidja Henni & Pierre-Yves Louis & Brigitte Vannier & Ahmed Moussa - 571-588 Sparse classification with paired covariates
by Armin Rauschenberger & Iuliana Ciocănea-Teodorescu & Marianne A. Jonker & Renée X. Menezes & Mark A. Wiel - 589-609 Connecting the multivariate partial least squares with canonical analysis: a path-following approach
by Lukáš Malec & Vladimír Janovský - 611-628 A stable cardinality distance for topological classification
by Vasileios Maroulas & Cassie Putman Micucci & Adam Spannaus - 629-649 Familywise decompositions of Pearson’s chi-square statistic in the analysis of contingency tables
by Rosaria Lombardo & Yoshio Takane & Eric J. Beh - 651-676 Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations
by Alba M. Franco-Pereira & Rosa E. Lillo - 677-745 Enhancing techniques for learning decision trees from imbalanced data
by Ikram Chaabane & Radhouane Guermazi & Mohamed Hammami
June 2020, Volume 14, Issue 2
- 231-234 Special issue on “Innovations on model based clustering and classification”
by Christophe Biernacki & Luis Angel García-Escudero & Salvatore Ingrassia - 235-260 Seemingly unrelated clusterwise linear regression
by Giuliano Galimberti & Gabriele Soffritti - 261-292 Semiparametric mixtures of regressions with single-index for model based clustering
by Sijia Xiang & Weixin Yao - 293-325 Gaussian parsimonious clustering models with covariates and a noise component
by Keefe Murphy & Thomas Brendan Murphy - 327-354 A robust approach to model-based classification based on trimming and constraints
by Andrea Cappozzo & Francesca Greselin & Thomas Brendan Murphy - 355-378 Mixture modeling of data with multiple partial right-censoring levels
by Semhar Michael & Tatjana Miljkovic & Volodymyr Melnykov - 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