V. M. Zolotarev, “Probability metrics”, Teor. Veroyatnost. i Primenen., 28:2 (1983), 264–287; Theory Probab. Appl., 28:1 (1984), 278

This publication is cited in the following 132 articles:

Sreejith Sreekumar, Ziv Goldfeld, Kengo Kato, “Limit Distribution Theory for f-Divergences”, IEEE Trans. Inform. Theory, 70:2 (2024), 1233
M. P. Savelov, “Two-sided estimates for the sum of probabilities of errors in the multiple hypotheses testing problem with finite number of hypotheses about a nonhomogeneous sample”, Theory Probab. Appl., 69:2 (2024), 322–330
W. Römisch, T. M. Surowiec, “Asymptotic properties of Monte Carlo methods in elliptic PDE-constrained optimization under uncertainty”, Numer. Math., 2024
Euijoon Kwon, Jong-Min Park, Jae Sung Lee, Yongjoo Baek, “Unified hierarchical relationship between thermodynamic tradeoff relations”, Phys. Rev. E, 110:4 (2024)
Marieke Stolte, Franziska Kappenberg, Jörg Rahnenführer, Andrea Bommert, “Methods for quantifying dataset similarity: a review, taxonomy and comparison”, Statist. Surv., 18:none (2024)
Jiequn Han, Ruimeng Hu, Jihao Long, “A class of dimension-free metrics for the convergence of empirical measures”, Stochastic Processes and their Applications, 164 (2023), 242
Ioannis Kyriakou, Riccardo Brignone, Gianluca Fusai, “Unified Moment-Based Modeling of Integrated Stochastic Processes”, Operations Research, 2023
Aravind Gollakota, Adam R. Klivans, Pravesh K. Kothari, Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023, 1657
Tasos C. Christofides, Charalambos Charalambous, “Asymptotic normality of U-statistics based on i.i.d. or negatively associated observations by utilizing Zolotarev's ideal metric”, Communications in Statistics - Theory and Methods, 52:12 (2023), 4083
Tianle Liu, Morgane Austern, “Wasserstein-p bounds in the central limit theorem under local dependence”, Electron. J. Probab., 28:none (2023)
Vladimir Makarenko, Irina Shevtsova, “Delicate Comparison of the Central and Non-Central Lyapunov Ratios with Applications to the Berry–Esseen Inequality for Compound Poisson Distributions”, Mathematics, 11:3 (2023), 625
Andreas Anastasiou, Alessandro Barp, François-Xavier Briol, Bruno Ebner, Robert E. Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur Gretton, Christophe Ley, Qiang Liu, Lester Mackey, Chris J. Oates, Gesine Reinert, Yvik Swan, “Stein's Method Meets Computational Statistics: A Review of Some Recent Developments”, Statist. Sci., 38:1 (2023)
Eric Beutner, Henryk Zähle, “Donsker results for the empirical process indexed by functions of locally bounded variation and applications to the smoothed empirical process”, Bernoulli, 29:1 (2023)
F. Götze, A. Yu. Zaitsev, “On alternative approximating distributions in the multivariate version of Kolmogorov's second uniform limit theorem”, Theory Probab. Appl., 67:1 (2022), 1–16
Omar Besbes, Will Ma, Omar Mouchtaki, “Beyond IID: Data-Driven Decision-Making in Heterogeneous Environments”, SSRN Journal, 2022
Henryk Zähle, “A concept of copula robustness and its applications in quantitative risk management”, Finance Stoch, 26:4 (2022), 825
Hung T.L. Kien Ph.T., “On the Order of Approximation in Limit Theorems For Negative-Binomial Sums of Strictly Stationary M-Dependent Random Variables”, Acta Math. Vietnam, 46:1 (2021), 203–224
M. Hoffhues, W. Römisch, T. M. Surowiec, “On quantitative stability in infinite-dimensional optimization under uncertainty”, Optim Lett, 15:8 (2021), 2733
“In memory of V. M. Zolotarev (02.27.1931–11.07.2019)”, Theory Probab. Appl., 65:1 (2020), 175–178
Zeifman A. Korolev V. Satin Ya., “Two Approaches to the Construction of Perturbation Bounds For Continuous-Time Markov Chains”, Mathematics, 8:2 (2020), 253