- Sergei Nikolaevich Smirnov, “Гарантированный детерминистский подход к суперхеджированию: соотношение "детерминистской" и "вероятностной" постановок при отсутствии торговых ограничений”, Теория вероятностей и ее применения, 67, no. 4, 2022, 688
- Vladimir Vovk, Alexander Gammerman, Glenn Shafer, Algorithmic Learning in a Random World, 2022, 227
- Vladimir Vovk, Alexander Gammerman, Glenn Shafer, Algorithmic Learning in a Random World, 2022, 333
- Tim Brucks, Taposh Banerjee, Rahul Mishra, “Modeling and quickest detection of a rapidly approaching object”, Sequential Analysis, 42, no. 4, 2023, 387
- Zbigniew S. Szewczak, “On Kolmogorov’s converse inequality for dependent random variables”, Stochastic Analysis and Applications, 39, no. 3, 2021, 483
- Mikhail Zhitlukhin, “Capital Growth and Survival Strategies in a Market with Endogenous Prices”, SIAM J. Finan. Math., 14, no. 3, 2023, 812
- Natan T'Joens, Jasper De Bock, Gert de Cooman, “A particular upper expectation as global belief model for discrete-time finite-state uncertain processes”, International Journal of Approximate Reasoning, 131, 2021, 30
- Catalin Badea, Oscar Devys, “Rochberg’s Abstract Coboundary Theorem Revisited”, Complex Anal. Oper. Theory, 16, no. 8, 2022, 115
- Vladimir Vovk, Alexander Gammerman, Glenn Shafer, Algorithmic Learning in a Random World, 2022, 71
- Vladimir Vovk, “Testing Randomness Online”, Statist. Sci., 36, no. 4, 2021