Weak convergence of stochastic processes is one of most important theories in probability theory. Not only probability experts but also more and more statisticians are interested in it. In the study of statistics and econometrics, some problems cannot be solved by the classical method. In this book, we will introduce some recent development of modern weak convergence theory to overcome defects of classical theory.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Weak convergence of stochastic processes is one of most important theories in probability theory. Not only probability experts but also more and more statisticians are interested in it. In the study of statistics and econometrics, some problems cannot be solved by the classical method. In this book, we will introduce some recent development of modern weak convergence theory to overcome defects of classical theory.
It is a useful guide to some recent applications of weak convergence theory in time series, statistics and econometrics. --Zentralblatt MATH
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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