LEADER 02671nam 2200613 450 001 9910788971803321 005 20230213215425.0 010 $a3-11-134733-8 024 7 $a10.1515/9783111347332 035 $a(CKB)3390000000035706 035 $a(EBL)3043092 035 $a(OCoLC)922946210 035 $a(SSID)ssj0001052984 035 $a(PQKBManifestationID)11555855 035 $a(PQKBTitleCode)TC0001052984 035 $a(PQKBWorkID)11113716 035 $a(PQKB)11128622 035 $a(MiAaPQ)EBC3043092 035 $a(DE-B1597)96381 035 $a(OCoLC)999354608 035 $a(DE-B1597)9783111347332 035 $a(Au-PeEL)EBL3043092 035 $a(CaPaEBR)ebr10760100 035 $a(EXLCZ)993390000000035706 100 $a20130923h19861986 uy| 0 101 0 $afre 135 $aurnn|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAspects de l'interdiction dans la lexicographie franc?aise contemporaine /$fJean Boulanger ; with an English summary 205 $aReprint 2012 210 1$aTu?bingen [Germany] :$cMax Niemeyer Verlag,$d[1986] 210 4$d©1986 215 $a1 online resource (176 p.) 225 0 $aLexicographica. Series Maior ;$v13 300 $aDescription based upon print version of record. 311 0 $a3-11-192840-3 311 0 $a3-484-30913-X 320 $aIncludes bibliographical references. 327 $tFront matter --$tTABLE DES MATIÈRES --$tAVANT-PROPOS --$tABRÉVIATIONS --$t1. LES DICTIONNAIRES ET L? SOCIÉTÉ --$t2. UNE APPROCHE DE LA SITUATION D'INTERDICTION LEXICOGRAPHIQUE --$t3. VERS UNE DÉFINITION DE L'INTERDICTION LEXICOGRAPHIQUE --$t4. QUELQUES CAUSES DE L'INTERDICTION LEXICOGRAPHIQUE --$t5. LES PRINCIPALES INTERDICTIONS: DES CHOSES AUX MOTS --$t6. TYPOLOGIE LINGUISTIQUE DES INTERDICTIONS LEXICOGRAPHIQUES --$t7. LES MYTHES LEXICOGRAPHIQUES --$t8. PEUT-ÊTRE UNE CONCLUSION? --$t9. VERS UNE NOUVELLE LEXICOGRAPHIE --$tRÉSUMÉ EN ANGLAIS / ASPECTS OF THE BANNING OF TABOO WORDS IN CONTEMPORARY FRENCH DICTIONARIES, SUMMARY --$tBIBLIOGRAPHIE --$tINDEX DES NOTIONS --$tINDEX DES MOTS, DES AFFIXES ET DES NOMS PROPRES --$tINDEX DES DICTIONNAIRES --$tLISTE DES TABLEAUX 410 0$aLexicographica. Series Maior 606 $aFrench language$xLexicography 615 0$aFrench language$xLexicography. 676 $a443/.028 686 $aID 6555$2rvk 700 $aBoulanger$b Jean-Claude$0623886 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788971803321 996 $aAspects de l'interdiction dans la lexicographie franc?aise contemporaine$93866564 997 $aUNINA LEADER 07835nam 2201861 450 001 9910809577703321 005 20230617011549.0 010 $a0-691-11542-7 010 $a1-4008-3557-7 024 7 $a10.1515/9781400835577 035 $a(CKB)2560000000080609 035 $a(EBL)1769088 035 $a(SSID)ssj0000409556 035 $a(PQKBManifestationID)12172155 035 $a(PQKBTitleCode)TC0000409556 035 $a(PQKBWorkID)10347827 035 $a(PQKB)10774156 035 $a(MiAaPQ)EBC1769088 035 $a(DE-B1597)447600 035 $a(OCoLC)888749095 035 $a(OCoLC)979579163 035 $a(DE-B1597)9781400835577 035 $a(Au-PeEL)EBL1769088 035 $a(CaPaEBR)ebr10910141 035 $a(CaONFJC)MIL637574 035 $a(EXLCZ)992560000000080609 100 $a20140829h20032003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMarkov processes from K. Ito?'s perspective /$fDaniel W. Stroock 210 1$aPrinceton, New Jersey ;$aOxfordshire, England :$cPrinceton University Press,$d2003. 210 4$d©2003 215 $a1 online resource (289 p.) 225 1 $aAnnals of Mathematics Studies ;$vNumber 155 300 $aDescription based upon print version of record. 311 $a1-322-06323-0 311 $a0-691-11543-5 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tPreface -- $tChapter 1. Finite State Space, a Trial Run -- $tChapter 2. Moving to Euclidean Space, the Real Thing -- $tChapter 3. Itô's Approach in the Euclidean Setting -- $tChapter 4. Further Considerations -- $tChapter 5. Itô's Theory of Stochastic Integration -- $tChapter 6. Applications of Stochastic Integration to Brownian Motion -- $tChapter 7. The Kunita-Watanabe Extension -- $tChapter 8. Stratonovich's Theory -- $tNotation -- $tReferences -- $tIndex 330 $aKiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Itô's program. The modern theory of Markov processes was initiated by A. N. Kolmogorov. However, Kolmogorov's approach was too analytic to reveal the probabilistic foundations on which it rests. In particular, it hides the central role played by the simplest Markov processes: those with independent, identically distributed increments. To remedy this defect, Itô interpreted Kolmogorov's famous forward equation as an equation that describes the integral curve of a vector field on the space of probability measures. Thus, in order to show how Itô's thinking leads to his theory of stochastic integral equations, Stroock begins with an account of integral curves on the space of probability measures and then arrives at stochastic integral equations when he moves to a pathspace setting. In the first half of the book, everything is done in the context of general independent increment processes and without explicit use of Itô's stochastic integral calculus. In the second half, the author provides a systematic development of Itô's theory of stochastic integration: first for Brownian motion and then for continuous martingales. The final chapter presents Stratonovich's variation on Itô's theme and ends with an application to the characterization of the paths on which a diffusion is supported. The book should be accessible to readers who have mastered the essentials of modern probability theory and should provide such readers with a reasonably thorough introduction to continuous-time, stochastic processes. 410 0$aAnnals of mathematics studies ;$vNumber 155. 606 $aMarkov processes 606 $aStochastic difference equations 610 $aAbelian group. 610 $aAddition. 610 $aAnalytic function. 610 $aApproximation. 610 $aBernhard Riemann. 610 $aBounded variation. 610 $aBrownian motion. 610 $aCentral limit theorem. 610 $aChange of variables. 610 $aCoefficient. 610 $aComplete metric space. 610 $aCompound Poisson process. 610 $aContinuous function (set theory). 610 $aContinuous function. 610 $aConvergence of measures. 610 $aConvex function. 610 $aCoordinate system. 610 $aCorollary. 610 $aDavid Hilbert. 610 $aDecomposition theorem. 610 $aDegeneracy (mathematics). 610 $aDerivative. 610 $aDiffeomorphism. 610 $aDifferentiable function. 610 $aDifferentiable manifold. 610 $aDifferential equation. 610 $aDifferential geometry. 610 $aDimension. 610 $aDirectional derivative. 610 $aDoob?Meyer decomposition theorem. 610 $aDuality principle. 610 $aElliptic operator. 610 $aEquation. 610 $aEuclidean space. 610 $aExistential quantification. 610 $aFourier transform. 610 $aFunction space. 610 $aFunctional analysis. 610 $aFundamental solution. 610 $aFundamental theorem of calculus. 610 $aHomeomorphism. 610 $aHölder's inequality. 610 $aInitial condition. 610 $aIntegral curve. 610 $aIntegral equation. 610 $aIntegration by parts. 610 $aInvariant measure. 610 $aItô calculus. 610 $aItô's lemma. 610 $aJoint probability distribution. 610 $aLebesgue measure. 610 $aLinear interpolation. 610 $aLipschitz continuity. 610 $aLocal martingale. 610 $aLogarithm. 610 $aMarkov chain. 610 $aMarkov process. 610 $aMarkov property. 610 $aMartingale (probability theory). 610 $aNormal distribution. 610 $aOrdinary differential equation. 610 $aOrnstein?Uhlenbeck process. 610 $aPolynomial. 610 $aPrincipal part. 610 $aProbability measure. 610 $aProbability space. 610 $aProbability theory. 610 $aPseudo-differential operator. 610 $aRadon?Nikodym theorem. 610 $aRepresentation theorem. 610 $aRiemann integral. 610 $aRiemann sum. 610 $aRiemann?Stieltjes integral. 610 $aScientific notation. 610 $aSemimartingale. 610 $aSign (mathematics). 610 $aSpecial case. 610 $aSpectral sequence. 610 $aSpectral theory. 610 $aState space. 610 $aState-space representation. 610 $aStep function. 610 $aStochastic calculus. 610 $aStochastic. 610 $aStratonovich integral. 610 $aSubmanifold. 610 $aSupport (mathematics). 610 $aTangent space. 610 $aTangent vector. 610 $aTaylor's theorem. 610 $aTheorem. 610 $aTheory. 610 $aTopological space. 610 $aTopology. 610 $aTranslational symmetry. 610 $aUniform convergence. 610 $aVariable (mathematics). 610 $aVector field. 610 $aWeak convergence (Hilbert space). 610 $aWeak topology. 615 0$aMarkov processes. 615 0$aStochastic difference equations. 676 $a519.2/33 686 $aSI 830$2rvk 700 $aStroock$b Daniel W.$042628 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910809577703321 996 $aMarkov processes from K. Itô's perspective$9145814 997 $aUNINA