172 citations to https://www.mathnet.ru/rus/tvp2325
  1. Nicolas Fournier, Arnaud Guillin, “On the rate of convergence in Wasserstein distance of the empirical measure”, Probab. Theory Relat. Fields, 162:3-4 (2015), 707  crossref
  2. Tao Jiang, Sheng Cui, Ruixing Ming, “Large deviations for the stochastic present value of aggregate claims in the renewal risk model”, Statistics & Probability Letters, 101 (2015), 83  crossref
  3. С. В. Нагаев, “Вероятностные неравенства для процессов Гальтона–Ватсона”, Теория вероятн. и ее примен., 59:4 (2014), 693–726  mathnet  crossref  elib; S. V. Nagaev, “Probability inequalities for Galton–Watson processes”, Theory Probab. Appl., 59:4 (2015), 611–640  crossref  isi
  4. Iosif Pinelis, “On the Bennett–Hoeffding inequality”, Ann. Inst. H. Poincaré Probab. Statist., 50:1 (2014)  crossref
  5. Stéphan Clémençon, “A statistical view of clustering performance through the theory ofU-processes”, Journal of Multivariate Analysis, 124 (2014), 42  crossref
  6. А. Ю. Зайцев, “Точность сильной гауссовской аппроксимации для сумм независимых случайных векторов”, УМН, 68:4(412) (2013), 129–172  mathnet  crossref  mathscinet  zmath  adsnasa  elib; A. Yu. Zaitsev, “The accuracy of strong Gaussian approximation for sums of independent random vectors”, Russian Math. Surveys, 68:4 (2013), 721–761  crossref  isi  elib
  7. Kugler J. Wachtel V., “Upper Bounds for the Maximum of a Random Walk with Negative Drift”, J. Appl. Probab., 50:4 (2013), 1131–1146  isi
  8. Yongfeng Wu, Andrew Rosalsky, Andrei Volodin, “Some mean convergence and complete convergence theorems for sequences of m-linearly negative quadrant dependent random variables”, Appl Math, 58:5 (2013), 511  crossref
  9. Johannes Kugler, Vitali Wachtel, “Upper Bounds for the Maximum of a Random Walk with Negative Drift”, J. Appl. Probab., 50:04 (2013), 1131  crossref
  10. Johannes Kugler, Vitali Wachtel, “Upper Bounds for the Maximum of a Random Walk with Negative Drift”, Journal of Applied Probability, 50:4 (2013), 1131  crossref
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