Journal of Data Science, Statistics, and Visualization (JDSSV) has recently published its special issue on Special Issue on Statistical Learning, Visual Analytics, and Beyond with the following 5 papers.published in open access:
- Dingen, D., van ’t Veer, M., Bakkes, T., Korsten, E., Bouwman, A., & van Wijk, J. J. . (2024). RoA: visual analytics support for deconfounded causal inference in observational studies. Journal of Data Science, Statistics, and Visualisation, 4(3).
- Stander, J.-P., Fabris-Rotelli, I., Loots, T., van Niekerk, J., & Stein, A. (2024). An edge preserving median filter for images based on level-sets. Journal of Data Science, Statistics, and Visualisation, 4(3).
- Chasiotis, V., & Karlis, D. (2024). Subdata selection for big data regression: an improved approach. Journal of Data Science, Statistics, and Visualisation, 4(3).
- Cappello, C., Piccolotto, N., Muehlmann, C., Bögl, M., Filzmoser, P., Miksch, S., & Nordhausen, K. (2024). Visual Interactive Parameter Selection for Temporal Blind Source Separation. Journal of Data Science, Statistics, and Visualisation, 4(3).
- Li, Y. ., Wong, W. K., Zhou, H., & Chough Carriere, K. (2024). An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX. Journal of Data Science, Statistics, and Visualisation, 4(3).
