- Rui Meng, Herbert K. H. Lee. Temporal Categorical Modeling Using Latent Gaussian Processes. J. Classification, 43(2):458-476, July 2026.
- Hossein Kazemzadeh Gharechopogh, Adel Mohammadpour. An Arbitrarily Tight Lower Bound for the Bhattacharyya Upper Bound on Bayes Error. J. Classification, 43(2):334-351, July 2026.
- Pingping Han, Xiaoning Kang, Mingqiu Wang, Xiuli Wang. Regression Coefficients Clustering for Longitudinal Data in the Presence of Heteroscedasticity. J. Classification, 43(2):537-553, July 2026.
- Abbas Mahdavi, Anthony F. Desmond, Antonio Punzo, Luca Bagnato. Skew Dimension-Wise Scaled Mixtures of Normal Distributions and Their Applications in Model-Based Clustering. J. Classification, 43(2):402-432, July 2026.
- 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.
- Panos Nikitas, Efthymia Nikita. An Extension of the Kullback-Leibler Divergence for the Application of Machine Learning Classification Algorithms to Hierarchical Cluster Analysis. J. Classification, 43(2):314-333, July 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.
- Kevin Kloos, Julian D. Karch, Quinten A. Meertens, Sander Scholtus, Mark de Rooij. Continuous Sweep for Binary Quantification Learning. J. Classification, 43(2):554-584, July 2026.
- Paul D. McNicholas. Editorial: Journal of Classification Vol. 43-2. J. Classification, 43(2):275, July 2026.