Prokhorov and Contemporary Probability Theory Prokhorov and Contemporary Probability Theory

Prokhorov and Contemporary Probability Theory

In Honor of Yuri V. Prokhorov

Albert N. Shiryaev und andere
    • 87,99 €
    • 87,99 €

Beschreibung des Verlags

The role of Yuri Vasilyevich Prokhorov as a prominent mathematician and leading expert in the theory of probability is well known. Even early in his career he obtained substantial results on the validity of the strong law of large numbers and on the estimates (bounds) of the rates of convergence, some of which are the best possible. His findings on limit theorems in metric spaces and particularly functional limit theorems are of exceptional importance. Y.V. Prokhorov developed an original approach to the proof of functional limit theorems, based on the weak convergence of finite dimensional distributions and the condition of tightness of probability measures. 

The present volume commemorates the 80th birthday of Yuri Vasilyevich Prokhorov. It includes scientific contributions written by his colleagues, friends and pupils, who would like to express their deep respect and sincerest admiration for him and his scientific work.​

GENRE
Wissenschaft und Natur
ERSCHIENEN
2013
9. Januar
SPRACHE
EN
Englisch
UMFANG
484
Seiten
VERLAG
Springer Berlin Heidelberg
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
9,7
 MB
Limit Theorems in Probability, Statistics and Number Theory Limit Theorems in Probability, Statistics and Number Theory
2013
Asymptotic Laws and Methods in Stochastics Asymptotic Laws and Methods in Stochastics
2015
Modern Stochastics and Applications Modern Stochastics and Applications
2014
From Stochastic Calculus to Mathematical Finance From Stochastic Calculus to Mathematical Finance
2007
High Dimensional Probability VII High Dimensional Probability VII
2016
Random Matrices and Iterated Random Functions Random Matrices and Iterated Random Functions
2013
Operator Theory and Harmonic Analysis Operator Theory and Harmonic Analysis
2021
Recent Developments in Stochastic Methods and Applications Recent Developments in Stochastic Methods and Applications
2021
Probability-2 Probability-2
2019
Stochastic Disorder Problems Stochastic Disorder Problems
2019
Probability-1 Probability-1
2016
Problems in Probability Problems in Probability
2012