30 citations to https://www.mathnet.ru/rus/tvp2821
  1. V.V. Anh, N.N. Leonenko, “Non-Gaussian scenarios for the heat equation with singular initial conditions”, Stochastic Processes and their Applications, 84:1 (1999), 91  crossref
  2. Ю. Ю. Бахтин, “Закон повторного логарифма для решения уравнения Бюргерса со случайными начальными данными”, Матем. заметки, 64:6 (1998), 812–823  mathnet  crossref  mathscinet  zmath; Yu. Yu. Bakhtin, “The law of the iterated logarithm for the solution of the Burgers equation with random initial data”, Math. Notes, 64:6 (1998), 704–713  crossref  isi
  3. N.N. Leonenko, W.A. Woyczynski, “Exact parabolic asymptotics for singular n-D Burgers' random fields: Gaussian approximation”, Stochastic Processes and their Applications, 76:2 (1998), 141  crossref
  4. Donatas Surgailis, The IMA Volumes in Mathematics and its Applications, 85, Stochastic Models in Geosystems, 1997, 427  crossref
  5. H. Holden, N. H. Risebro, “Conservation laws with a random source”, Appl Math Optim, 36:2 (1997), 229  crossref
  6. Nikolai N. Leonenko, Enzo Orsingher, Victoria N. Parkhomenko, “On the rate of convergence to the normal law for solutions of the Burgers equation with singular initial data”, J Stat Phys, 82:3-4 (1996), 915  crossref
  7. Donatas Surgailis, The IMA Volumes in Mathematics and its Applications, 77, Nonlinear Stochastic PDEs, 1996, 137  crossref
  8. N. Leonenko, E. Orsingher, “Limit theorems for solutions of the Burgers equation with Gaussian and non-Gaussian initial conditions”, Теория вероятн. и ее примен., 40:2 (1995), 387–403  mathnet  isi; N. Leonenko, E. Orsingher, “Limit theorems for solutions of the Burgers equation with Gaussian and non-Gaussian initial conditions”, Theory Probab. Appl., 40:2 (1995), 294–308  mathnet  crossref
  9. Sergio Albeverio, Stanislav A. Molchanov, Donatas Surgailis, “Stratified structure of the Universe and Burgers' equation—a probabilistic approach”, Probab. Th. Rel. Fields, 100:4 (1994), 457  crossref
  10. L. Giraitis, S. A. Molchanov, D. Surgailis, The IMA Volumes in Mathematics and its Applications, 46, New Directions in Time Series Analysis, 1993, 153  crossref
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