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签到天数: 757 天 [LV.10]以坛为家III
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课程介绍:
047_ModelThinking_模型思维
详细目录:
├─047_ModelThinking_模型思维
│xa0xa0xa0xa0│xa0xa0xa0xa01-1-1.1欢迎和致谢Welcome&Thanks(3-58).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa01-2-1.2一对多和多对一OnetoMany&ManytoOne(8-59).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa01-3-1.3为什么要运用模型WhyModel-(8-53).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa01-4-1.4睿智的世界公民IntelligentCitizensoftheWorld(11-31).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa01-5-1.5思考更清晰ThinkingMoreClearly(10-50).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa01-6-1.6使用和理解数据Using&UnderstandingData(10-14).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa01-7-1.7使用模型做决定、策略和设计UsingModelstoDecide,Strategize&Design(15-26).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa02-1-2.1分类和同群效应简介Sorting&PeerEffectsIntroduction(5-11).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa02-2-2.2谢林的隔离模型Schelling-sSegregationModel(11-30).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa02-3-2.3测量隔离MeasuringSegregation(11-30).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa02-4-2.4同群效应PeerEffects(6-58).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa02-5-2.5起立鼓掌模型TheStandingOvationModel(18-05).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa02-6-2.6识别问题TheIdentificationProblem(10-18).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa03-1-3.1)聚合Aggregation(10-15).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa03-2-3.2)中心极限定理CentralLimitTheorem(18-52).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa03-3-3.3)六西格玛SixSigma(5-11).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa03-4-3.4)生命游戏GameofLife(14-36).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa03-5-3.5)细胞自动机CellularAutomata(18-07).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa03-6-3.6)偏好聚合PreferenceAggregation(12-19).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa04-1-4.1)决策模型介绍IntroductiontoDecisionMaking(5-37).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa04-2-4.2)多准则决策Multi-CriterionDecisionMaking(8-18).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa04-3-4.3)空间投票模型SpatialChoiceModels(11-08).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa04-4-4.4)概率基础Probability-TheBasics(10-06).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa04-5-4.5)决策树DecisionTrees(14-38).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa04-6-4.6)信息的价值ValueofInformation(8-41).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa05-1-5.1)人类模型:电子思维ThinkingElectrons-ModelingPeople(6-29).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa05-2-5.2)理忄生行为者模型RationalActorModels(16-09).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa05-3-5.3)行为模型BehA危ioralModels(12-49).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa05-4-5.4)基于规则的模型RuleBasedModels(12-30).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa05-5-5.5)行为什么时候重要?WhenDoesBehA危iorMatter-(12-40).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-1-6.1)线忄生模型介绍IntroductiontoLinearModels(4-27).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-2-6.2)分类模型CategoricalModels(15-13).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-3-6.3)线忄生模型LinearModels(8-10).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-4-6.4)拟合数据FittingLinestoData(11-48).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-5-6.5)读取回归输出ReadingRegressionOutput(11-44).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-6-6.6)从线忄生到非线忄生FromLineartoNonlinear(6-11).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa06-7-6.7)大系数和新现实思维TheBigCoefficientvsTheNewReality(11-26).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa07-1-7.1)临界点TippingPoints(5-58).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa07-2-7.2)渗透模型PercolationModels(11-48).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa07-3-7.3)传染病模型1-扩散ContagionModels1-Diffusion(7-24).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa07-4-7.4)传染病模型2-SIS模型ContagionModels2-SISModel(9-12).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa07-5-7.5)划分临界点ClassifyingTippingPoints(8-26).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa07-6-7.6)测量建议MeasuringTips(13-39).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-1-8.1)增长介绍IntroductionToGrowth(6-43).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-2-8.2)指数增长ExponentialGrowth(10-53).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-3-8.3)基础增长模型BasicGrowthModel(13-59).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-4-8.4)索洛增长模型SolowGrowthModel(11-41).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-5-8.5)中国会持续增长吗?WIllChinaContinuetoGrow-(11-55).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-6-8.6)为何一些国家没有增长?WhyDoSomeCountriesNotGrow-(11-30).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa08-7-8.7)皮凯蒂的资本论-一个简单模型的力量Piketty-sCapital-ThePowerofaSimpleModel(8-41).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa09-1-9.1)问题解决和创新ProblemSolvingandInnovation(5-06).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa09-2-9.2)视角与创新PerspectivesandInnovation(16-57).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa09-3-9.3)启发式探索Heuristics(9-29).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa09-4-9.4)团队与问题解决TeamsandProblemSolving(11-05).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa09-5-9.5)重组Recombination(11-02).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa010-1-10.1)马尔科夫模型MarkovModels(4-26).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa010-2-10.2)一个简单的马尔科夫模型ASimpleMarkovModel(11-27).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa010-3-10.3)马尔科夫民主化模型MarkovModelofDemocratization(8-21).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa010-4-10.4)马尔科夫收敛定理MarkovConvergenceTheorem(10-33).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa010-5-10.5)马尔科夫模型延伸ExaptingtheMarkovModel(10-11).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa011-1-11.1)李雅普诺夫函数LyapunovFunctions(9-13).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa011-2-11.2)城市的组织TheOrganizationofCities(12-14).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa011-3-11.3)交换经济与外部效应ExchangeEconomiesandExternalities(9-18).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa011-4-11.4)达到收敛与最优的时间TimetoConvergenceandOptimality(8-04).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa011-5-11.5)李雅普诺夫函数深入Lyapunov-FunandDeep(8-40).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa011-6-11.6)李雅普诺夫或马尔科夫函数LyapunovorMarkov(7-24).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa012-1-12.1)协调与文化CoordinationandCulture(3-37).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa012-2-12.2)什么是文化,我们为什么要关注WhatIsCultureAndWhyDoWeCare
│xa0xa0xa0xa0│xa0xa0xa0xa012-2-12.2)什么是文化,我们为什么要关注WhatIsCultureAndWhyDoWeCare-(15-43).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa012-3-12.3)纯协调博弈PureCoordinationGame(13-48).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa012-4-12.4)文化的兴起EmergenceofCulture(11-01).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa012-5-12.5)协调与一致CoordinationandConsistency(17-03).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa013-1-13.1)路径依赖PathDependence(7-23).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa013-2-13.2)瓮模型UrnModels(16-26).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa013-3-13.3)瓮模型中的数学MathematicsonUrnModels(14-46).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa013-4-13.4)路径依赖与混乱PathDependenceandChaos(11-08).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa013-5-13.5)路径依赖与收益递增PathDependenceandIncreasingReturns(12-31).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa013-6-13.6)路径依赖或临界点PathDependentorTippingPoint(9-52).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa014-1-14.1)网络Networks(7-04).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa014-2-14.2)网络的结构TheStructureofNetworks(19-30).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa014-3-14.3)网络形成的逻辑TheLogicofNetworkFormation(10-03).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa014-4-14.4)网络函数NetworkFunction(13-10).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa015-1-15.1)随机忄生和随机游走模型RandomnessandRandomWalkModels(3-05).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa015-2-15.2)随机忄生的来源SourcesofRandomness(5-15).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa015-3-15.3)技能和运气SkillandLuck(8-28).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa015-4-15.4)随机游走RandomWalks(12-29).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa015-5-15.5)随机游走和华尔街RandomWalksandWallStreet(7-51).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa015-6-15.6)有限记忆随机游走FiniteMemoryRandomWalks(8-18).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa016-1-16.1)上校赛局博弈ColonelBlottoGame(1-53).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa016-2-16.2)上校赛局:无最佳策略Blotto-NoBestStrategy(7-27).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa016-3-16.3)Blotto上校赛局的应用ApplicationsofColonelBlotto(7-08).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa016-4-16.4)Blotto上校赛局:军队优势Blotto-TroopAdvantages(6-27).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa016-5-16.5)上校赛局和竞争BlottoandCompetition(10-41).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa017-1-17.1)简介:囚徒困境和集体行动Intro-ThePrisoners-DilemmaandCollectiveAction(3-44).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa017-2-17.2)囚徒困境博弈ThePrisoners-DilemmaGame(13-45).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa017-3-17.3)合作的七种方式SevenWaysToCooperation(15-20).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa017-4-17.4)集体行动和公共资源问题CollectiveActionandCommonPoolResourceProblems(7-23).mp4
│xa0xa0xa0xa0│xa0xa0xa0xa017-5-17.5)没有万灵药NoPanacea(6-03).mp4
│xa0xa0xa0xa0xa0xa0xa0xa0xa0xa018-1-18.1)机制设计MechanismDesign(4-00).mp4
│xa0xa0xa0xa0xa0xa0xa0xa0xa0xa018-2-18.2)隐藏行动和隐藏信息HiddenActionandHiddenInformation(9-53).mp4
│xa0xa0xa0xa0xa0xa0xa0xa0xa0xa018-3-18.3)拍卖Auctions(19-59).mp4
│xa0xa0xa0xa0xa0xa0xa0xa0xa0xa018-4-18.4)公众项目PublicProjects(12-21).mp4
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