01436nam a22002657i 4500003000400000005001700004008004100021020003000062040002600092050001800118100002600136245006600162250001800228264003000246300004500276336002600321337002800347338002700375504006600402520047700468650001900945942004900964999001501013952014201028GSU20260728094803.0250128s2020    sz ||||||b||||000 0|eng|c  a9783030564018 (paperback)  aQbengerdacGSUdGSU  aQA273.18bKLE1 aKlenke, Achim4author10aProbability theory :ba comprehensive course /cAchim Klenke.  aThird edition 1aCham :bSpringer,c©2020  axiv, 716 pages :billustrations ;c23 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references (p. [591]-598) and index.  aThis textbook provides a comprehensive and rigorous introduction to modern probability theory, covering measure theory, independence, random variables, limit theorems, conditional expectations, martingales, Markov chains, stochastic processes, Brownian motion, stochastic integrals, and stochastic differential equations. The text includes numerous examples, exercises, and applications for advanced students and researchers in mathematics, statistics, and related fields. 0aProbabilities.  2lcccRBeThird editionhQA273.18kQAmKLEn0  c2871d2871  00102lcc40708GCaGSULEbGSULEcRESd2026-07-22ePurchasei05818l0oQA273.18 KLEp50000007048r2026-07-22 08:48:00t1w2026-07-22yRB