MARC Record from marc_columbia

LEADER: 03068mam a22003494a 4500
001 3336387
005 20221020043618.0
008 020220t20022002nyua b 001 0 eng
010 $a 2002022927
020 $a0387954597 (alk. paper)
035 $a(OCoLC)ocm49312408
035 $9AUY5916CU
035 $a(NNC)3336387
035 $a3336387
040 $aDLC$cDLC$dC#P$dOHX$dOrLoB-B
042 $apcc
050 00 $aQA274.45$b.K58 2002
072 7 $aQA$2lcco
082 00 $a519.2/3$221
100 1 $aKhoshnevisan, Davar.$0http://id.loc.gov/authorities/names/n2002015622
245 10 $aMultiparameter processes :$ban introduction to random fields /$cDavar Khoshnevisan.
260 $aNew York :$bSpringer,$c[2002], ©2002.
300 $axix, 584 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aSpringer monographs in mathematics
504 $aIncludes bibliographical references (p. [543]-565) and indexes.
505 00 $gI.$tDiscrete-Parameter Random Fields.$g1.$tDiscrete-Parameter Martingales.$g1.$tOne-Parameter Martingales.$g2.$tOrthomartingales.$g3.$tMartingales.$g2.$tTwo Applications in Analysis.$g1.$tHaar Systems.$g2.$tDifferentiation.$g3.$tRandom Walks.$g1.$tOne-Parameter Random Walks.$g2.$tIntersection Probabilities.$g3.$tThe Simple Random Walk.$g4.$tMultiparameter Walks.$g1.$tThe Strong Law of Large Numbers.$g2.$tThe Law of the Iterated Logarithm.$g5.$tGaussian Random Variables.$g1.$tThe Basic Construction.$g2.$tRegularity Theory.$g3.$tThe Standard Brownian Sheet.$g6.$tLimit Theorems.$g1.$tRandom Variables.$g2.$tWeak Convergence.$g3.$tThe Space C.$g4.$tInvariance Principles --$gII.$tContinuous-Parameter Random Fields.$g7.$tContinuous-Parameter Martingales.$g1.$tOne-Parameter Martingales.$g2.$tMultiparameter Martingales.$g3.$tOne-Parameter Stochastic Integration.$g4.$tStochastic Partial Differential Equations.$g8.$tConstructing Markov Processes.$g1.$tDiscrete Markov Chains.$g2.$tMarkov Semigroups.
505 80 $g3.$tMarkov Processes.$g4.$tFeller Processes.$g9.$tGeneration of Markov Processes.$g1.$tGeneration.$g2.$tExplicit Computations.$g3.$tThe Feynman-Kac Formula.$g4.$tExit Times and Brownian Motion.$g10.$tProbabilistic Potential Theory.$g1.$tRecurrent Levy Processes.$g2.$tHitting Probabilities for Feller Processes.$g3.$tExplicit Computations.$g11.$tMultiparameter Markov Processes.$g1.$tDefinitions.$g2.$tExamples.$g3.$tPotential Theory.$g4.$tApplications.$g5.$t[alpha]-Regular Gaussian Random Fields.$g12.$tThe Brownian Sheet and Potential Theory.$g1.$tPolar Sets for the Range of the Brownian Sheet.$g2.$tThe Codimension of the Level Sets.$g3.$tLocal Times as Frostman's Measures --$gIII.$tAppendices --$gA.$tKolmogorov's Consistency Theorem --$gB.$tLaplace Transforms --$gC.$tHausdorff Dimensions and Measures --$gD.$tEnergy and Capacity.
650 0 $aRandom fields.$0http://id.loc.gov/authorities/subjects/sh85111347
830 0 $aSpringer monographs in mathematics.$0http://id.loc.gov/authorities/names/n97101238
852 00 $bmat$hQA274.45$i.K58 2002