- Ying Chen, Patrick J. F. Groenen, Kwan-Liu Ma, Stefan Van Aelst. Editorial. J. Data Sci. Stat. Vis., 4(2), 2024.
- Alan Inglis, Andrew Parnell, Catherine Hurley. Visualisations for Bayesian Additive Regression Trees. J. Data Sci. Stat. Vis., 4(1), February 2024.
- Iqbal Shamsudheen, Christian Hennig. Should We Test the Model Assumptions Before Running a Model-based Test?. J. Data Sci. Stat. Vis., 3(3), November 2023.
- Sothea Has. Gradient COBRA: A kernel-based consensual aggregation for regression: Kernel-based Aggregation for Regression. J. Data Sci. Stat. Vis., 3(2), October 2023.
- Gregory J. Hunt, Johann Gagnon-Bartsch. A Review of Containerization for Interactive and Reproducible Analysis. J. Data Sci. Stat. Vis., 3(1), 2023.
- Marc Lavielle. Using hospital data for monitoring the dynamics of COVID-19 in France. J. Data Sci. Stat. Vis., 2(7):46-62, 2022.
- Juan Domingo Gonzalez, Ricardo A. Maronna, Victor J. Yohai, Ruben H. Zamar. Robust Model-Based Clustering. J. Data Sci. Stat. Vis., 2(6), 2022.
- Stuart Lee, Ursula Laa, Dianne Cook. Casting multiple shadows: interactive data visualisation with tours and embeddings. J. Data Sci. Stat. Vis., 2(3), 2022.
- Adalbert Wilhelm, Susan VanderPlas. Visual Narratives of the Covid-19 pandemic. J. Data Sci. Stat. Vis., 2(7):84-113, 2022.
- Takanori Fujiwara, Jian Zhao 0010, Francine Chen 0001, Yaoliang Yu, Kwan-Liu Ma. Network Comparison with Interpretable Contrastive Network Representation Learning. J. Data Sci. Stat. Vis., 2(5), 2022.