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  1. Albert Nikolayevich Shiryaev (en ruso: Альбе́рт Никола́евич Ширя́ев; nacido el 12 de octubre de 1934) es un matemático soviético y ruso. Es conocido por su trabajo en teoría de la probabilidad, estadística y matemáticas financieras.

  2. Albert Nikolayevich Shiryaev ( Russian: Альбе́рт Никола́евич Ширя́ев; born October 12, 1934) is a Soviet and Russian mathematician. He is known for his work in probability theory, statistics and financial mathematics . Career. He graduated from Moscow State University in 1957.

  3. On optimum methods in quickest detection problems. AN Shiryaev. Theory of Probability & Its Applications 8 (1), 22-46. , 1963. 1130. 1963. Statistics of random processes II: Applications. RS Liptser, AN Shiryaev. Springer Science & Business Media.

    Title Sort Sort By Citations Sort By Year ...
    Cited By Cited By
    Year
    Limit theorems for stochastic processes J ...
    2013
    Probability-1 AN Shiryaev Springer , ...
    2016
    Statistics of random processes: General ...
    1977
    Optimal stopping rules AN Shiryaev ...
    2007
  4. Albert Nikolayevich Shiryaev es un matemático soviético y ruso. Es conocido por su trabajo en teoría de la probabilidad, estadística y matemáticas financieras.

  5. 25 de mar. de 2019 · Authors: Albert N. Shiryaev. Along with Probability-1, forms the third English edition of the author’s classic Probability. Offers new problems, exercises, proofs, and applications in financial topics and mathematical statistics.

  6. Albert Shiryaev. PhD, RAS member, Distinguished Professor and Head of the Department of Probability Theory in the MSU Faculty of Mechanics and Mathematics, Senior Researcher at the Steklov Mathematical Institute. At the Yandex School of Data Analysis, he lectures on "Fundamentals of stochastics.

  7. Albert N. Shiryaev, Konstantin E. Samouylov, Dmitry V. Kozyrev. Contains novel and important results in Stochastic Analysis. Presents contributions from eminent researchers. Useful for mathematicians, engineers and postgraduate students. Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 371)