The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception.
Two new papers accepted at JCGS:
- Hazra, A., Huser, R., and Bolin, D. (2024+), Efficient modeling of spatial extremes over large geographical domains, Journal of Computational and Graphical Statistics, to appear [PDF preprint]
- Sainsbury-Dale, M., Zammit-Mangion, A., Richards, J., and Huser, R. (2024+), Neural Bayes estimators for irregular spatial data using graph neural networks, Journal of Computational and Graphical Statistics, conditionally accepted [PDF preprint]
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