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Asymptotic analysis of random walks : heavy-tailed distributions /

This monograph is devoted to studying the asymptotic behaviour of the probabilities of large deviations of the trajectories of random walks, with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. It presents a unified and systematic exposition.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Borovkov, A. A. (Aleksandr Alekseevich), 1931-
Otros Autores: Borovkov, K. A. (Konstantin Aleksandrovich)
Formato: Electrónico eBook
Idioma:Inglés
Ruso
Publicado: Cambridge : Cambridge University Press, 2008.
Colección:Encyclopedia of mathematics and its applications ; no. 118.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preliminaries
  • Random walks with jumps having no finite first moment
  • Random walks with jumps having finite mean and infinite variance
  • Random walks with jumps having finite variance
  • Random walks with semiexponential jump distributions
  • Large deviations on the boundary of and outside the Cramer zone for random walks with jump distributions decaying exponentially fast
  • Asymptotic properties of functions of regularly varying and semiexponential distributions. Asymptotics of the distributions of stopped sums and their maxima. An alternative approach to studying the asymptotics of P(S[subscript n] [is equal to or greater than] x)
  • On the asymptotics of the first hitting times
  • Integro-local and integral large deviation theorems for sums of random vectors
  • Large deviations in trajectory space
  • Large deviations of sums of random variables of two types
  • Random walks with non-identically distributed jumps in the triangular array scheme in the case of infinite second moment. Transient phenomena
  • Random walks with non-identically distributed jumps in the triangular array scheme in the case of finite variances
  • Random walks with dependent jumps
  • Extension of the results of Chapters 2-5 to continuous-time random processes with independent increments
  • Extension of the results of Chapters 3 and 4 to generalized renewal processes.