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Advances in Data Analysis and Classification, Volume 16
Volume 16, Number 1, March 2022
- Salvatore Ingrassia, Julien Jacques, Weixin Yao:
Editorial for ADAC issue 1 of volume 16 (2022). 1-3 - Hung Tong, Cristina Tortora:
Model-based clustering and outlier detection with missing data. 5-30 - Robin Fuchs, Denys Pommeret, Cinzia Viroli:
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets. 31-53 - Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy:
Unobserved classes and extra variables in high-dimensional discriminant analysis. 55-92 - Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo:
Multivariate cluster weighted models using skewed distributions. 93-124 - Mingxing He, Jiahua Chen:
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter. 125-154 - Víctor Blanco, Alberto Japón, Justo Puerto:
Robust optimal classification trees under noisy labels. 155-179 - Pedro C. Álvarez-Esteban, Luis Angel García-Escudero:
Robust clustering of functional directional data. 181-199 - Christian Hennig:
An empirical comparison and characterisation of nine popular clustering methods. 201-229
Volume 16, Number 2, June 2022
- Salvatore Ingrassia, Julien Jacques, Weixin Yao:
Special issue on "Models and learning for clustering and Classification". 231-234 - Ewa Genge, Francesco Bartolucci:
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models. 235-271 - Roberto Di Mari, Antonello Maruotti:
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error. 273-300 - Gianna Serafina Monti, Peter Filzmoser:
Robust logistic zero-sum regression for microbiome compositional data. 301-324 - Bettina Grün, Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter:
How many data clusters are in the Galaxy data set? 325-349 - Felix J. Clouth, Steffen Pauws, Floortje Mols, Jeroen K. Vermunt:
A new three-step method for using inverse propensity weighting with latent class analysis. 351-371 - Jason Hou-Liu, Ryan P. Browne:
Factor and hybrid components for model-based clustering. 373-398 - Carlo Cavicchia, Maurizio Vichi, Giorgia Zaccaria:
Gaussian mixture model with an extended ultrametric covariance structure. 399-427 - Xavier Bry, Lionel Cucala:
A von Mises-Fisher mixture model for clustering numerical and categorical variables. 429-455 - Giorgio Eduardo Montanari, Marco Doretti, Maria Francesca Marino:
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models. 457-485
Volume 16, Number 3, September 2022
- Maurizio Vichi, Andrea Ceroli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 16 (2022). 487-490 - Maria Rosário de Oliveira, Margarida Azeitona, António Pacheco, Rui Valadas:
Association measures for interval variables. 491-520 - Francisco H. C. de Alencar, Christian E. Galarza, Larissa A. Matos, Victor H. Lachos:
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution. 521-557 - Thi Bich Ngoc Hoang, Josiane Mothe:
Prediction of brand stories spreading on social networks. 559-591 - Irani Hazarika, Anjana Kakoti Mahanta:
Mining maximal frequent rectangles. 593-616 - Matteo Spallanzani, Gueorgui Mihaylov, Marco Prato, Roberto Fontana:
A fingerprint of a heterogeneous data set. 617-657 - Wan-Lun Wang, Tsung-I Lin:
Robust clustering via mixtures of t factor analyzers with incomplete data. 659-690 - Tin Lok James Ng, Thomas Brendan Murphy:
Model-based clustering for random hypergraphs. 691-723 - Oluwasegun Taiwo Ojo, Antonio Fernández Anta, Rosa E. Lillo, Carlo Sguera:
Detecting and classifying outliers in big functional data. 725-760 - Paula Saavedra-Nieves, Rosa M. Crujeiras:
Nonparametric estimation of directional highest density regions. 761-796 - Cynthia Huber, Norbert Benda, Tim Friede:
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning. 797-815
Volume 16, Number 4, December 2022
- Maurizio Vichi, Andrea Ceroli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 16 (2022). 817-821 - 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 F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? 823-846 - Tiffany Elsten, Mark de Rooij:
SUBiNN: a stacked uni- and bivariate kNN sparse ensemble. 847-874 - Beibei Yuan, Willem J. Heiser, Mark de Rooij:
A comparison of two dissimilarity functions for mixed-type predictor variables in the δ-machine. 875-907 - Pasquale Dolce, Cristina Davino, Domenico Vistocco:
Quantile composite-based path modeling: algorithms, properties and applications. 909-949 - Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck:
Sparse dimension reduction based on energy and ball statistics. 951-975 - Jan Kalina, Jan Tichavský:
The minimum weighted covariance determinant estimator for high-dimensional data. 977-999 - Pieter C. Schoonees, Patrick J. F. Groenen, Michel van de Velden:
Least-squares bilinear clustering of three-way data. 1001-1037 - Vladimir Shenmaier:
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space. 1039-1067 - Pierre Bertrand, Michel Broniatowski, Jean-François Marcotorchino:
Independence versus indetermination: basis of two canonical clustering criteria. 1069-1093 - Víctor Blanco, Alberto Japón, Justo Puerto:
Correction to: Robust optimal classification trees under noisy labels. 1095 - Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo:
Correction to: Multivariate cluster weighted models using skewed distributions. 1097 - Naoto Yamashita:
Correction to: Principal component analysis constrained by layered simple structures. 1099-1100
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