1.

Record Nr.

UNINA9910392722503321

Autore

Čekanavičius Vydas

Titolo

Approximation Methods in Probability Theory / / by Vydas Čekanavičius

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-34072-7

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XII, 274 p.)

Collana

Universitext, , 0172-5939

Disciplina

511.4

Soggetti

Probabilities

Approximation theory

Probability Theory and Stochastic Processes

Approximations and Expansions

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Definitions and preliminary facts -- The method of convolutions -- Local lattice estimates -- Uniform lattice estimates -- Total variation of lattice measures -- Non-uniform estimates for lattice measures -- Discrete non-lattice approximations -- Absolutely continuous approximations -- The Esseen type estimates -- Lower estimates -- The Stein method -- The triangle function method -- Heinrich's method for m-dependent variables -- Other methods -- Solutions to selected problems -- Bibliography -- Index.

Sommario/riassunto

This book presents a wide range of well-known and less common methods used for estimating the accuracy of probabilistic approximations, including the Esseen type inversion formulas, the Stein method as well as the methods of convolutions and triangle function. Emphasising the correct usage of the methods presented, each step required for the proofs is examined in detail. As a result, this textbook provides valuable tools for proving approximation theorems. While Approximation Methods in Probability Theory will appeal to everyone interested in limit theorems of probability theory, the book is particularly aimed at graduate students who have completed a standard intermediate course in probability theory. Furthermore, experienced researchers wanting to enlarge their toolkit will also find this book



useful.

2.

Record Nr.

UNINA9910146983703321

Titolo

Alma : das Alumni-Magazin der Universität St. Gallen / HSG Alumni

Pubbl/distr/stampa

St. Gallen, : Alumni-Büro HSG, 1998-

Descrizione fisica

Online-Ressource

Classificazione

24,2

Disciplina

050

370

Soggetti

Zeitschrift

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Gesehen am 13.04.21