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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
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets. 31-53 - Michael Fop
Unobserved classes and extra variables in high-dimensional discriminant analysis. 55-92 - Michael P. B. Gallaugher, Salvatore D. Tomarchio
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
Robust optimal classification trees under noisy labels. 155-179 - Pedro C. Álvarez-Esteban
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
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models. 235-271 - Roberto Di Mari
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error. 273-300 - Gianna Serafina Monti
Robust logistic zero-sum regression for microbiome compositional data. 301-324 - Bettina Grün
How many data clusters are in the Galaxy data set? 325-349 - Felix J. Clouth
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
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
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
Editorial for ADAC issue 3 of volume 16 (2022). 487-490 - Maria Rosário de Oliveira, Margarida Azeitona, António Pacheco
Association measures for interval variables. 491-520 - Francisco H. C. de Alencar, Christian E. Galarza
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
Mining maximal frequent rectangles. 593-616 - Matteo Spallanzani
A fingerprint of a heterogeneous data set. 617-657 - Wan-Lun Wang
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
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
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
Editorial for ADAC issue 4 of volume 16 (2022). 817-821 - Sarah Friedrich
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
A comparison of two dissimilarity functions for mixed-type predictor variables in the δ-machine. 875-907 - Pasquale Dolce
Quantile composite-based path modeling: algorithms, properties and applications. 909-949 - Emmanuel Jordy Menvouta
Sparse dimension reduction based on energy and ball statistics. 951-975 - Jan Kalina
The minimum weighted covariance determinant estimator for high-dimensional data. 977-999 - Pieter C. Schoonees
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
Independence versus indetermination: basis of two canonical clustering criteria. 1069-1093 - Víctor Blanco
Correction to: Robust optimal classification trees under noisy labels. 1095 - Michael P. B. Gallaugher, Salvatore D. Tomarchio
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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