MARC Record from Western Washington University

LEADER: 02028cam 2200337 a 4500
001 ocm74942803
003 OCoLC
005 20071029032627.0
008 061026s2007 riu b 001 0 eng
010 $a2006052603
020 $a0821842153 (alk. paper)
020 $a9780821842157 (alk. paper)
035 $a(OCoLC)74942803
040 $aDLC$cDLC$dBTCTA$dBAKER$dUKM$dC#P$dYDXCP$dUPP$dXFF
049 $aXFFA
050 00 $aQA273$b.K488 2007
100 1 $aKhoshnevisan, Davar.
245 10 $aProbability /$cDavar Khoshnevisan.
260 $aProvidence, R.I. :$bAmerican Mathematical Society,$cc2007.
300 $axvi, 224 p. ;$c27 cm.
440 0 $aGraduate studies in mathematics,$x1065-7339 ;$vv. 80
520 1 $a"This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones." "The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes."--BOOK JACKET
504 $aIncludes bibliographical references (p. 209-216) and index.
505 0 $aClassical probability -- Bernoulli trials -- Measure theory -- Integration -- Product spaces -- Independence -- The central limit theorem -- Martingales -- Brownian motion -- Terminus : stochastic integration.
650 0 $aProbabilities.
907 $a.b21355642$bmulti$c-
902 $a071206
998 $b1$c071029$dm$ea$f-$g0
902 $a071130
902 $aFastCat jmm
902 $aMARS