LEADER 00896nam0-22003011i-450- 001 990004519940403321 005 20160506122407.0 035 $a000451994 035 $aFED01000451994 035 $a(Aleph)000451994FED01 035 $a000451994 100 $a19990604d1945----km-y0itay50------ba 101 0 $afre 105 $ay-------001yy 200 1 $aMarguerite de Navarre$ela reine Margot$fJacques Castelnau 210 $aParis$cLib. 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Despite this, the condition is easily missed in clinical practice or not adequately treated. Part of the Oxford Psychiatry Library, this concise pocketbook will provide an accessible account of what depression in older people is like, why it is important and what treatments help. The text will highlight which areas of depression are of special relevance to later life, how to diagnose depression in an older person, the overlap with dementia and various other physic 410 0$aOxford psychiatry library. 606 $aDepression in old age$xTreatment 606 $aDepression in old age 615 0$aDepression in old age$xTreatment. 615 0$aDepression in old age. 676 $a618.9768527 700 $aManthorpe$b Jill$f1955-$0899306 701 $aIliffe$b Steve$01488468 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910783443903321 996 $aDepression in later life$93738453 997 $aUNINA LEADER 03972nam 22007575 450 001 9910254294203321 005 20230810190309.0 010 $a3-319-43476-4 024 7 $a10.1007/978-3-319-43476-6 035 $a(CKB)3710000001041181 035 $a(DE-He213)978-3-319-43476-6 035 $a(MiAaPQ)EBC6315739 035 $a(MiAaPQ)EBC5577663 035 $a(Au-PeEL)EBL5577663 035 $a(OCoLC)972330747 035 $a(PPN)198341482 035 $a(EXLCZ)993710000001041181 100 $a20170130d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscrete Probability Models and Methods $eProbability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding /$fby Pierre Brémaud 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 559 p. 92 illus.) 225 1 $aProbability Theory and Stochastic Modelling,$x2199-3149 ;$v78 311 $a3-319-43475-6 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- 1.Events and probability -- 2.Random variables -- 3.Bounds and inequalities -- 4.Almost-sure convergence -- 5.Coupling and the variation distance -- 6.The probabilistic method -- 7.Codes and trees -- 8.Markov chains -- 9.Branching trees -- 10.Markov fields on graphs -- 11.Random graphs -- 12.Recurrence of Markov chains -- 13.Random walks on graphs -- 14.Asymptotic behaviour of Markov chains -- 15.Monte Carlo sampling -- 16. Convergence rates -- Appendix -- Bibliography. 330 $aThe emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends far beyond the present text. Although the examples treated in the book relate to the possible applications, in the communication and computing sciences, in operations research and in physics, this book is in the first instance concerned with theory. The level of the book is that of a beginning graduate course. It is self-contained, the prerequisites consisting merely of basic calculus (series) and basic linear algebra (matrices). 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