Cantitate/Preț
Produs

Limit Theorems for Stochastic Processes: Grundlehren der mathematischen Wissenschaften, cartea 288

Autor Jean Jacod, Albert Shiryaev
en Limba Engleză Paperback – 18 dec 2010
Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an introduction to the theory of martingales and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well asa large number of results which have never appeared in book form, and some entirely new results. The second edition contains some additions to the text and references. Some parts are completely rewritten.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 112635 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 18 dec 2010 112635 lei  6-8 săpt.
Hardback (1) 113424 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 10 oct 2002 113424 lei  6-8 săpt.

Din seria Grundlehren der mathematischen Wissenschaften

Preț: 112635 lei

Preț vechi: 137359 lei
-18% Nou

Puncte Express: 1690

Preț estimativ în valută:
21555 22476$ 17914£

Carte tipărită la comandă

Livrare economică 20 martie-03 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642078767
ISBN-10: 3642078761
Pagini: 688
Ilustrații: XX, 664 p.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 0.95 kg
Ediția:Softcover reprint of hardcover 2nd ed. 2003
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Grundlehren der mathematischen Wissenschaften

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

I. The General Theory of Stochastic Processes, Semimartingales and Stochastic Integrals.- II. Characteristics of Semimartingales and Processes with Independent Increments.- III. Martingale Problems and Changes of Measures.- IV. Hellinger Processes, Absolute Continuity and Singularity of Measures.- V. Contiguity, Entire Separation, Convergence in Variation.- VI. Skorokhod Topology and Convergence of Processes.- VII. Convergence of Processes with Independent Increments.- VIII. Convergence to a Process with Independent Increments.- IX. Convergence to a Semimartingale.- X. Limit Theorems, Density Processes and Contiguity.- Bibliographical Comments.- References.- Index of Symbols.- Index of Terminology.- Index of Topics.- Index of Conditions for Limit Theorems.

Textul de pe ultima copertă

Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an introduction to the theory of martingales and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well asa large number of results which have never appeared in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to graduate students.

Caracteristici

Includes supplementary material: sn.pub/extras