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完本神战>牛津通识课:概率 > Chapter 3 Historical sketch(第1页)

Chapter 3 Historical sketch(第1页)

Chapter3Historicalsketch

Beginnings

AgamepopularinFlorend1600restedoalsthreeordihescoresofThree,whenalldicese,aheyallscoredsix,aroserarely,withmostsearthemiddlee。YoushouldcheckthattherearesixdifferentwaysNine(e。g。6+2+1,5+2+2,etdalsosixwaysTen。Itwasothis‘ought’tomaketotalsofenequallyfrequent,butplayers,overaperiodoftime,thetotalofTenoccurredappreciablymoreoftenthaheyaskedGalileoforaion。

Galileopoihattheirmethodofgwasflawed。ColourthediceasRed,Green,andBlue,andlisttheoutesinthatorder。Tosefrom3+3+3requiresallthreedievalue,andthatinonewayonly,(3,3,3)。Butthe5+2+2binationcouldariseas(5,2,2),(2,5,2),

or(2,2,5),sothisbinatiooarisethreetimesasoftenastheformer;and6+2+1arisesvia(6,2,1),(6,1,2),(2,6,1),(2,1,6),(1,6,2),and(1,2,6),sothisbinationhassixwaystooccur。AvalidapproachtohowoftethedifferenttotalstakesthisfatoaddoesiomorewaysofobtaihaheFlamblerslearallessoninprobability–youmustlearntot properly。

Inthesummerof1654,PasParis)a(inToulouse)hadaersonthe problemofpoints。SupposeSmithaoplayaseriesoftests,thevigthefirsttames;ueiheustehleadsJonesby2-1。Howshouldtheprizebesplit?

Suchquestionshadbeeleast150yearswithoutasatisfaswer,butPasdFermatilyfou,fetsdahetestwasabandoned,woulddividetheprize fairlybetweeookdifferentapproaches,butreachedthesame,andeachshoweredpraiseoherforhisbrilliahespestated,thesplitshouldbeiio3:1,withSmithgetting34oftheprize,Jones14。

Theesseionosethatbothplayerswereequallylikelytowinaheyanyofthepossibleoutesofthesehypotheticalgameswouldgiveoverallvictorytoeitherplayer,andproposeddividingtheprizeiioofthesetwonumbers。Ilaheprizeshouldbesplitastheratioofthetwo probabilitiesofeitherplayerwinningtheseries,assumingtheywereeveuregames。Thesystematicstudyofprobabilityhadbegun。

Thisissuewassettledviatheobjectiveapproachtoprobability,butPascalalsothoughtmorewidely。HesuggestedawagerabouttheexistenceofGod。‘Godis,orisnot。Reasonswer。AgameisoherendofaandHeadsorTailsisgoingtoturnup。illyoubet?’

&hatifGodexists,thediffereweenbeliefabetweenattaininginfinitehappinessiernaldamnationinHell。IfGoddoes,belieforuoonlyminordifferehlyexperiehusanagnosticshouldleanstronglytobeliefinGod。

Inthisgame,thevaluesofthecesof‘Heads’or‘Tails’arepersoderivablefromsymmetryarguments。ThusPascaliohesubjectiveapproachtoprobabilitytoo。

TheSwissFamilyBernoulli

Durihauries,membersoftheBernoullifamilyfromBaslemadesignifimathematigprobability。Rivalryur:ohemwouldposeges,anotherwouldrespoorofthegewouldclaimtofindflawsinthesupposedsolution,andsoon。

Gamesofspiredmuchoftheearlyihewsofprobability。Inthesegames,beitrollingdigcards,e‘experiment’iscarriedoutrepeatedlyuhesames。Thenaturalquestion,raisedearlier,is:howdoesthe observedfrequenerelatetoits objectiveprobability?

JaoulligaveananswerinhisposthumouslypublishedTheArtofjeg(1713),ratedbyhisexample。Suppose60%oftheballsinaherestareBlaeballisdrawnatrandom。Thatballisrepladtheexperimeimes。Bernoullishowedthat,solongasatleast25,55saremade,foreverytimetheproportionofWhiteballsfalls outsidetherangefrom58%to62%,itwillfall irahousandtimes。Informally,theobservedfrequencyofWhiteballsis,inthelongrun,lylikelytobeclosetoitsobjectiveprobability。

Asimilaranalysisappliestoahatberepeatedielyuiditioheresultofohasheothers。Eachtime,esdeheirobjectiveprobabilityissomefixedvalue p。(Thisnotionhelabel Bernoullitrials。)Takeanyinterval,assmallasyoulike,aroundthevalue p–plusorminus2%,plusorminus0。1%,itmattersnot。Also,sayhowmuchmoreoftenyouwanttherunningfrequencyofSuccessestobeierval,rathertha–ahuen,amillioever。Bernoulli’smethodsshowthatanysudalwaysbemet,providedtheexperimeeheobservedfrequencywillbeascloseto

&iveprobabilityasyoulike,givea。Thisassertionisknownasthe Lawehefamily’sfamewashonouredin1975bythenamechoice‘TheBernoulliSociety’foraioyoseistofosteradvahestudyofprobabilityaicalstatistics。

AbrahamdeMoivre

DeMoivresettledinEnglandasaHuguenee,andmadealivingfromdfromhisknowledgeofprobability。Isaa,thenover50yearsoldandwithmanye,deflequiriesaboutmathematicswiththewotoMrdeMoivre,hekhihanIdo。’DeMoivre’sDoeofcesappearedinEnglishin1718,aion,in1738,edamajoradvanoulli’sreciatewhathedid,sidersomethingspecific:ifafairdieisrolled1,000times,howfarfromtheaveragefrequeneumberofSixestobe?

DeMoivredevelopedasimpleformulathatwaswidelyusefulforquestionsofthisnature。OneofhissuperbinsightswastorealizethatthedeviatioualnumberofSixesfromtheaverageexpectedwasbestdescribedbyparingittothe squarerootofthenumberofrolls。

Itishardtooverplaythesighisdiscovery。Wheanopinionpollhasputsupportforapoliticalpartyat40%,itisoftenapaniedbyaremihisisoe,butthatthetruevalueis‘verylikely’tobeinselike38%to42%。Thewidthofsugetellsyouaboutthepreoftheinitialfigureof40%,andifyouwanthigherpre,youneedalargersample:thissquarerootfaeansthatto doublethepre,thesampleobe fourtimesaslarge!Wehavealawofdimihaveodotemustspendfourtimesasmuch。

DeMoivre’sapproabeillustratedbylookingathowmanyHeadswillotwentythrowsofafair。Takingallsequeh20suchasHHHTH。。。HTHTasequallylikely,westruct Figure 1,wheretheheightsoftheverticalbarsshowhowmanyoftheonemillionorsodifferentsequencesproduceexactly0,1,2,。。。,19,20Heads。Therespectiveobjectiveprobabilitiesarethenproportios。DeMoivreshowedthatthebest-fittinghthetopsofthesebarsisveryclosetoaparti,nowoftehe normal distribution。

Acurveofthisnaturearisesfenumberofthrows,andalsowhentheceofHeadsdiffersfromonehalf。Allthesecurvesbearasimplerelatioher,sodeMoivrecouldprodugleableforjustonebasicduseiteverywhere。AgoodestimateoftheproportioheoverallfrequencyofSuccesseswouldbewithiainlimitsoweasilybefound–allthatwasheceofSudtheimestheexperimentwastobeducted。Ytorollafairdie200timesandyouwanttoknowhowlikelyitisthatthenumberofSixeswillbebetween

&ivefrequenciesofHeadsin20throws

30and40?OrhowlikelyisitthatafairwillfallHeadsmorethan60timesin100tosses?Noproblem–deMoivrehadthesolution。

Supposeweknowtheagesofdeathfroupofmen,allofwhomreachedatleasttheirfiftiethbirthday。DeMoivre’sworkswerthequestion:‘Ifamanaged50ismorelikelythannottodiebef70,howlikelyisitthatthefiguresobservedfroupwouldarise?’Usefulthoughthiswas,itdidhekeyquestiohelifeiry:‘Howsurewebethata50-year-oldmahannottodiebeforehereachestheageof70?’

Inverseprobability

TheideasofThomasBayes,aPresbyterianministerwhodabblediics,arefarbetterappreowthaniime。His Essaytowardssolvingaproblemirineofces,publishedin1764,threeyearsafterhedied,givesthebeginningsofageneralapproachtosubjectiveprobability,andawaytheactuaries’problemabprobabilitiesfromdata。Italsoinessentialtwithprobabilities,termedBayes’Rule。

Toillustratethelatter,supposewethrowafairdietwithatthesthefirstthrowisthree,itiseasytofihatthetht,asthishappenspreciselywhenfiveissthesedthroause,wegivetheanswer16。Butturntheproblemround,andask:givealscht,whatisthecethatthefirstthrowyieldedthree?Theanswerisfarlessobvious,butbefoundbyapplyingBayes’Rule。Uandardmodelofdicethrows,thesouttobe15。

Thisnotionof inverseprobabilityistraltothewayevidenceshouldbesideredinaltrials。Supposefisfoundataeareidentifiedasbelongingtoaknownindividual,Smith。Theprobabilityoffindingthisevidehisi,islikelytobeverylow。Butitisnot‘HowlikelyisthisevideSmithisitheCourtpassesjudgmenton:itis‘HowlikelyisSmithtobei,giventhisevidence?’Bayes’RuleistheonlysoundwaytoobtainanansillseeiershowthisRulehelpsinmakingsensibledes。

&sshownbyBayeswereoverlookedformahedidideralproblem:iftheceofSuaseriesofBernoullitrials,likedicethrows,isunknowiverialsandSuccessesareknown,howlikelyisitthatthisunknowncefallsbetwees?Laplace,afarsuperiormathemati,wasabletocarryouttheputationsthathaddefeatedBayes。

Fromtentativebeginningsin1774toasynthesisin1812,Laplacesteadilyimprovedhisanalysis,aformulaetoaion。Forexample,usingdataonthenumbersofmaleahsinParis,hecludedthatitwasbeyonddoubtthatthealebirthexceededthatforafemale–heputtheprobabilitythiswasfalseasabout10–42!

BayesiheLoeryofBunhillFields,atisticalSociety。Thevaulthasbeeored,anddisplaysatributetoBayespaidforbystatistisworldwide。

&ralLimitTheorem

&ofoutesofaofBernoullitrialsasasequenceofSudFailures,e。g。FFFSFFFSSFSFF。。。NowreplaceeachSbythenumberone,andeachFbyzero,giving0001000110100。。。ThisindicatesagwaytothinkaboutthetotalnumberofSuthesetrials:itisjustthe sumofthesenumbers(agreed?)。DeMivenagoodapproximationthatdescribedhowthissumwhisso-alcurve。

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