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Mixtures of regressions using matrix-variate heavy-tailed distributions Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-03-16
Abstract Finite mixtures of regressions (FMRs) are powerful clustering devices used in many regression-type analyses. Unfortunately, real data often present atypical observations that make the commonly adopted normality assumption of the mixture components inadequate. Thus, to robustify the FMR approach in a matrix-variate framework, we introduce ten FMRs based on the matrix-variate t and contaminated
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Clustering by deep latent position model with graph convolutional network Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-03-12 Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
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Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-03-07 Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu
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Estimators of various kappa coefficients based on the unbiased estimator of the expected index of agreements Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-03-06 A. Martín Andrés, M. Álvarez Hernández
To measure the degree of agreement between R observers who independently classify n subjects within K categories, various kappa-type coefficients are often used. When R = 2, it is common to use the Cohen' kappa, Scott's pi, Gwet’s AC1/2, and Krippendorf's alpha coefficients (weighted or not). When R > 2, some pairwise version based on the aforementioned coefficients is normally used; with the same
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Spatial quantile clustering of climate data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-02-22 Carlo Gaetan, Paolo Girardi, Victor Muthama Musau
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Robust functional logistic regression Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-02-12 Berkay Akturk, Ufuk Beyaztas, Han Lin Shang, Abhijit Mandal
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Neural networks with functional inputs for multi-class supervised classification of replicated point patterns Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-02-07 Kateřina Pawlasová, Iva Karafiátová, Jiří Dvořák
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k-means clustering for persistent homology Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-01-31 Yueqi Cao, Prudence Leung, Anthea Monod
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RGA: a unified measure of predictive accuracy Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2024-01-17 Paolo Giudici, Emanuela Raffinetti
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QDA classification of high-dimensional data with rare and weak signals Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-12-18 Hanning Chen, Qiang Zhao, Jingjing Wu
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A fresh look at mean-shift based modal clustering Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-12-14 Jose Ameijeiras-Alonso, Jochen Einbeck
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A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-12-08 Nadia Accoto, Valerio Astuti, Costanza Catalano
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Variational inference for semiparametric Bayesian novelty detection in large datasets Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-12-04 Luca Benedetti, Eric Boniardi, Leonardo Chiani, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo, Francesco Denti
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Claims fraud detection with uncertain labels Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-11-30 Félix Vandervorst, Wouter Verbeke, Tim Verdonck
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Robust and sparse logistic regression Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-11-27 Dries Cornilly, Lise Tubex, Stefan Van Aelst, Tim Verdonck
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Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-11-23 Sangkon Oh, Byungtae Seo
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Functional clustering of fictional narratives using Vonnegut curves Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-11-04 Shan Zhong, David B. Hitchcock
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A between-cluster approach for clustering skew-symmetric data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-28 Donatella Vicari, Cinzia Di Nuzzo
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Applications of dual regularized Laplacian matrix for community detection Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-26 Huan Qing, Jingli Wang
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A new model for counterfactual analysis for functional data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-25 Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
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Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-18 Francesca Bassi, José Fernando Vera, Juan Antonio Marmolejo Martín
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Discovering interpretable structure in longitudinal predictors via coefficient trees Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-11 Özge Sürer, Daniel W. Apley, Edward C. Malthouse
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Generalized Cramér’s coefficient via f-divergence for contingency tables Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-05 Wataru Urasaki, Tomoyuki Nakagawa, Tomotaka Momozaki, Sadao Tomizawa
Various measures in two-way contingency table analysis have been proposed to express the strength of association between row and column variables in contingency tables. Tomizawa et al. (2004) proposed more general measures, including Cramér’s coefficient, using the power-divergence. In this paper, we propose measures using the f-divergence that has a wider class than the power-divergence. Unlike statistical
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Mixture modeling with normalizing flows for spherical density estimation Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-10-04 Tin Lok James Ng, Andrew Zammit-Mangion
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Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-09-27 Ryan P. Browne, Luca Bagnato, Antonio Punzo
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Theory of angular depth for classification of directional data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-09-23 Stanislav Nagy, Houyem Demni, Davide Buttarazzi, Giovanni C. Porzio
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Co-clustering contaminated data: a robust model-based approach Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-09-22 Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck
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Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-09-13 Xuwen Zhu, Yana Melnykov, Angelina S. Kolomoytseva
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An analytic strategy for data processing of multimode networks Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-08-29 Vincenzo Giuseppe Genova, Giuseppe Giordano, Giancarlo Ragozini, Maria Prosperina Vitale
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Robust gradient boosting for generalized additive models for location, scale and shape Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-08-26 Jan Speller, Christian Staerk, Francisco Gude, Andreas Mayr
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On the efficient implementation of classification rule learning Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-07-27 Michael Rapp, Johannes Fürnkranz, Eyke Hüllermeier
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Model-based clustering using a new multivariate skew distribution Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-07-22 Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo
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Slice weighted average regression Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-07-20 Marina Masioti, Joshua Davies, Amanda Shaker, Luke A. Prendergast
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Model based clustering of multinomial count data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-07-05 Panagiotis Papastamoulis
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A topological data analysis based classifier Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-07-01 Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld
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A link function specification test in the single functional index model Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-06-22 Lax Chan, Laurent Delsol, Aldo Goia
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MLE for the parameters of bivariate interval-valued model Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-06-18 S. Yaser Samadi, L. Billard, Jiin-Huarng Guo, Wei Xu
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Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-05-29 Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
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Model-based clustering of functional data via mixtures of t distributions Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-05-12 Cristina Anton, Iain Smith
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Finite mixture of hidden Markov models for tensor-variate time series data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-04-29 Abdullah Asilkalkan, Xuwen Zhu, Shuchismita Sarkar
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Application of distance standard deviation in functional data analysis Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-04-21 Mirosław Krzyśko, Łukasz Smaga
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An enhanced version of the SSA-HJ-biplot for time series with complex structure Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-04-18 Alberto Silva, Adelaide Freitas
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Composite likelihood methods for parsimonious model-based clustering of mixed-type data Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-04-09 Monia Ranalli, Roberto Rocci
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Identification of representative trees in random forests based on a new tree-based distance measure Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-03-16 Björn-Hergen Laabs, Ana Westenberger, Inke R. König
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Threshold-based Naïve Bayes classifier Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-03-14 Maurizio Romano, Giulia Contu, Francesco Mola, Claudio Conversano
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Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-02-12 Marie du Roy de Chaumaray, Matthieu Marbac
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Robust instance-dependent cost-sensitive classification Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-01-07 Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
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Flexible mixture regression with the generalized hyperbolic distribution Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-01-04 Nam-Hwui Kim, Ryan P. Browne
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Sparse correspondence analysis for large contingency tables Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2023-01-02 Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang
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Proximal methods for sparse optimal scoring and discriminant analysis Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-12-21 Summer Atkins, Gudmundur Einarsson, Line Clemmensen, Brendan Ames
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LASSO regularization within the LocalGLMnet architecture Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-12-13 Ronald Richman, Mario V. Wüthrich
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A power-controlled reliability assessment for multi-class probabilistic classifiers Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-11-17 Hyukjun Gweon
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A dual subspace parsimonious mixture of matrix normal distributions Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-11-16 Alex Sharp, Glen Chalatov, Ryan P. Browne
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Monitoring photochemical pollutants based on symbolic interval-valued data analysis Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-11-12 Liang-Ching Lin, Meihui Guo, Sangyeol Lee
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Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-10-20 Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes
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A structured covariance ensemble for sufficient dimension reduction Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-10-19 Qin Wang, Yuan Xue
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Semiparametric finite mixture of regression models with Bayesian P-splines Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-10-18 Marco Berrettini, Giuliano Galimberti, Saverio Ranciati
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On smoothing and scaling language model for sentiment based information retrieval Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-10-13 Fatma Najar, Nizar Bouguila
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The role of diversity and ensemble learning in credit card fraud detection Adv. Data Anal. Classif. (IF 1.6) Pub Date : 2022-09-28 Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi