My Account Log in

2 options

Multiple Wiener-Itô Integrals : With Applications to Limit Theorems / by Péter Major.

Math/Physics/Astronomy Library QA3 .L28 v.1-999 470,523,830,849:2nd ed. v.1000-1722,1762,1781,1799-2099,2100-2192-2218 2219-2223-2258,2260-2271,2273-2274-2277,2279-2281,2283-2289,2291,2293-2294,2296,2298-2299,2300-2311,2313-2379,2381-2383 2385,2388-2389
Loading location information...

Mixed Availability Some items are available, others may be requested.

Log in to request item
LIBRA QA3 .L28 Scattered vols.
Loading location information...

Mixed Availability Some items are available, others may be requested.

Log in to request item
Format:
Book
Author/Creator:
Major, Péter., Author.
Series:
Lecture Notes in Mathematics, 0075-8434 ; 849
Language:
English
Subjects (All):
Probabilities.
Probability Theory and Stochastic Processes.
Local Subjects:
Probability Theory and Stochastic Processes.
Physical Description:
1 online resource (XIII, 126 p. 4 illus.)
Edition:
2nd ed. 2014.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
Language Note:
English
Summary:
The goal of this Lecture Note is to prove a new type of limit theorems for normalized sums of strongly dependent random variables that play an important role in probability theory or in statistical physics. Here non-linear functionals of stationary Gaussian fields are considered, and it is shown that the theory of Wiener–Itô integrals provides a valuable tool in their study. More precisely, a version of these random integrals is introduced that enables us to combine the technique of random integrals and Fourier analysis. The most important results of this theory are presented together with some non-trivial limit theorems proved with their help. This work is a new, revised version of a previous volume written with the goalof giving a better explanation of some of the details and the motivation behind the proofs. It does not contain essentially new results; it was written to give a better insight to the old ones. In particular, a more detailed explanation of generalized fields is included to show that what is at the first sight a rather formal object is actually a useful tool for carrying out heuristic arguments.
Notes:
Bibliographic Level Mode of Issuance: Monograph
ISBN:
3-319-02642-9

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account