Ausgabe 3/2021
Inhalt (11 Artikel)
Clustering Brain Signals: a Robust Approach Using Functional Data Ranking
Tianbo Chen, Ying Sun, Carolina Euan, Hernando Ombao
Polarized Classification Tree Models: Theory and Computational Aspects
Elena Ballante, Marta Galvani, Pierpaolo Uberti, Silvia Figini
A Unified Theory of the Completeness of Q-Matrices for the DINA Model
Hans Friedrich Köhn, Chia-Yi Chiu
A Comparison of Reliability Coefficients for Ordinal Rating Scales
Alexandra de Raadt, Matthijs J. Warrens, Roel J. Bosker, Henk A. L. Kiers
A Model-Free Subject Selection Method for Active Learning Classification Procedures
Bo-Shiang Ke, Yuan-chin Ivan Chang
Matrix Normal Cluster-Weighted Models
Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
On Bayesian Analysis of Parsimonious Gaussian Mixture Models
Xiang Lu, Yaoxiang Li, Tanzy Love
Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models
Gabriele Soffritti
Co-clustering of Time-Dependent Data via the Shape Invariant Model
Alessandro Casa, Charles Bouveyron, Elena Erosheva, Giovanna Menardi