Editorial. Game-Theoretic Statistics and Safe Anytime-Valid Inference
Volume 2, Issue 2 (2024), pp. 153–154
Pub. online: 12 June 2024
Type: Software Tutorial And/or Review
Open Access
Open Access
Area: Editorial
Published
12 June 2024
12 June 2024
References
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Henzi, A., Puke, M., Dimitriadis, T. and Ziegel, J. (2023). A Safe Hosmer-Lemeshow Test. The New England Journal of Statistics in Data Science 1–15. https://doi.org/10.51387/23-NEJSDS56.
Ramdas, A., Grünwald, P., Vovk, V. and Shafer, G. (2023). Game-theoretic statistics and safe anytime-valid inference. Statistical Science 38(4) 576–601. https://doi.org/10.1214/23-sts894. MR4665027
Shafer, G. (2023). Improving Data Analysis by Testing by Betting: Optional Continuation and Descriptive Statistics. The New England Journal of Statistics in Data Science 1–14. https://doi.org/10.51387/23-NEJSDS55.
Shin, J., Ramdas, A. and Rinaldo, A. (2023). E-detectors: A Nonparametric Framework for Sequential Change Detection. The New England Journal of Statistics in Data Science 1–32. https://doi.org/10.51387/23-NEJSDS51.
ter Schure, J., Pérez-Ortiz, M., Ly, A. and Grünwald, P. (2024). The Anytime-Valid Logrank Test: Error Control Under Continuous Monitoring with Unlimited Horizon. The New England Journal of Statistics in Data Science 1–26. https://doi.org/10.51387/24-NEJSDS65.
Vovk, V. and Wang, R. (2024). Nonparametric E-tests of Symmetry. The New England Journal of Statistics in Data Science 1–10. https://doi.org/10.51387/24-NEJSDS60.
