- Yana Melnykov. On the Use of Contaminated Normal Distributions for Modeling Data Groups with Heavy Tails and Outliers. J. Classification, 43(1):66-85, April 2026.
- Edoardo Redivo. Erratum to: Mixtures of Quantile-Based Factor Analyzers. J. Classification, 43(1):19, April 2026.
- Pierpaolo D'Urso, Livia De Giovanni, Ruey S. Tsay, Vincenzina Vitale. Clustering Large-scale Time Series. J. Classification, 43(1):236-274, April 2026.
- Paul D. McNicholas. Editorial: Journal of Classification Vol. 43-1. J. Classification, 43(1):1, April 2026.
- Nicola Piras, Silvia Columbu, Julien Jacques. Multilevel Latent Class with CUB Models. J. Classification, 43(1):192-214, April 2026.
- Santanu Dey, Nabakumar Jana. Classification Rules for Axial Data: Parametric and Nonparametric Approaches. J. Classification, 43(1):86-116, April 2026.
- Lucio Palazzo, Alfonso Iodice D'Enza, Domenico Vistocco, Francesco Palumbo. Automatic Dendrogram Slicing for Mixed-Type Data Clustering. J. Classification, 43(1):41-65, April 2026.
- Edoardo Redivo. Mixtures of Quantile-Based Factor Analyzers. J. Classification, 43(1):2-18, April 2026.
- Dalia Ezzat, Eman Ahmed, Mona M. Soliman, Reda A. El-Khoribi. A Gaussian Noise Bayesian Deep Learning Approach for Enhancing Uncertainty Quantifications in Classifier Decisions. J. Classification, 43(1):215-235, April 2026.
- Xiaoke Qin, Francesca Martella, Sanjeena Subedi. Extending Cluster-Weighted Factor Analyzers for Multivariate Prediction and Interpretability. J. Classification, 43(1):117-145, April 2026.