15 citations to https://www.mathnet.ru/rus/tvp2484
  1. Gabriela Ciuperca, Matúš Maciak, Michal Pešta, “Real-time changepoint detection in a nonlinear expectile model”, Metrika, 87:2 (2024), 105  crossref
  2. Adrien Prodhomme, “Strong Gaussian approximation of metastable density-dependent Markov chains on large time scales”, Stochastic Processes and their Applications, 160 (2023), 218  crossref
  3. Gaultier Lambert, Elliot Paquette, “Strong approximation of Gaussian β ensemble characteristic polynomials: The hyperbolic regime”, Ann. Appl. Probab., 33:1 (2023)  crossref
  4. Ciuperca G., “Real-Time Detection of a Change-Point in a Linear Expectile Model”, Stat. Pap., 63:4 (2022), 1323–1367  crossref  mathscinet  isi
  5. Dimitrov E., Wu X., “Kmt Coupling For Random Walk Bridges”, Probab. Theory Relat. Field, 179:3-4 (2021), 649–732  crossref  mathscinet  isi
  6. Karmakar S., Wu W.B., “Optimal Gaussian Approximation For Multiple Time Series”, Stat. Sin., 30:3 (2020), 1399–1417  crossref  mathscinet  isi
  7. А. Ю. Зайцев, А. А. Зингер, М. А. Лифшиц, Я. Ю. Никитин, В. В. Петров, “К истории Санкт-Петербургской школы теории вероятностей и математической статистики. I. Предельные теоремы для сумм независимых случайных величин”, Вестн. Санкт-Петербургского ун-та. Математика. Механика. Астрономия, 5:2 (2018), 201–232  crossref  mathscinet  zmath  elib; M. A. Lifshits, Ya. Yu. Nikitin, V. V. Petrov, A. Yu. Zaitsev, A. A. Zinger, “Toward the history of the Saint Petersburg school of probability and statistics. I. Limit theorems for sums of independent random variables”, Vestn. St Petersb. Univ. Math., 51:2 (2018), 144–163  crossref  mathscinet  zmath  isi  scopus
  8. Merlevede F., Rio E., “Strong Approximation For Additive Functionals of Geometrically Ergodic Markov Chains”, Electron. J. Probab., 20 (2015), 1–27  crossref  mathscinet  isi  scopus
  9. Trapani L., “Comments on: Extensions of Some Classical Methods in Change Point Analysis Discussion”, Test, 23:2 (2014), 283–286  crossref  mathscinet  zmath  isi  scopus
  10. Berkes I., Liu W., Wu W.B., “Komlos-Major-Tusnady Approximation Under Dependence”, Ann. Probab., 42:2 (2014), 794–817  crossref  mathscinet  zmath  isi  elib  scopus
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