- Jing-Yi Zeng, Guan-Hua Huang. StatLLaMA: Multi-stage training for domain-optimized statistical large language models. J. Data Sci. Stat. Vis., 6(4), 2026.
- Paul Murrell. What is text doing in a data visualisation?. J. Data Sci. Stat. Vis., 6(3), 2026.
- Jiayi Zheng, Dongqi Fu, Ziqiao Xu, Nicholas Rios. Optimal subsampling for linear models with heteroscedasticity. J. Data Sci. Stat. Vis., 6(1), 2026.
- Lukas Koch. Plotting correlated data. J. Data Sci. Stat. Vis., 6(2), 2026.
- Nicholas Rios, John Stufken. Bootstrap aggregated designs for generalized linear models. J. Data Sci. Stat. Vis., 5(1), 2025.
- Wenqi Tang, Pekka Korhonen, Jenni Niku, Klaus Nordhausen, Sara Taskinen. Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data. J. Data Sci. Stat. Vis., 5(6), 2025.
- Tomoki Tokuda, Ben Goodrich, Iven Van Mechelen, Andrew Gelman, Francis Tuerlinckx. Visualizing distributions of covariance matrices. J. Data Sci. Stat. Vis., 5(7), 2025.
- A Samuel Pottinger, Lawson Connor, Brookie Guzder-Williams, Maya Weltman-Fahs, Nick Gondek, Timothy Bowles. Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo. J. Data Sci. Stat. Vis., 5(3), 2025.
- Sihan Chen, Joydeep Chowdhury, Marc G. Genton. Robust maximum Lq-likelihood covariance estimation for replicated spatial data. J. Data Sci. Stat. Vis., 5(4), 2025.
- Alan Inglis, Andrew Parnell. Permutation-based visualisation of input and encoded space in autoencoders. J. Data Sci. Stat. Vis., 5(2), 2025.