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    The Slaves Cause: A History of Abolition - 图书

    2016
    导演:Professor Manisha Sinha
    The Slaves Cause: A History of Abolition
    搜索《The Slaves Cause: A History of Abolition》
    图书

    The Slaves Cause: A History of Abolition - 图书

    导演:Manisha Sinha
    The Slaves Cause: A History of Abolition
    搜索《The Slaves Cause: A History of Abolition》
    图书

    The Slaves Cause: A History of Abolition - 图书

    导演:Manisha Sinha
    The Slaves Cause: A History of Abolition
    搜索《The Slaves Cause: A History of Abolition》
    图书

    Mastering Metrics: The Path from Cause to Effect - 图书

    2014
    导演:Joshua D. Angrist
    乔舒亚·安格里斯特 Joshua D. Angrist 美国麻省理工学院Ford经济学教授,美国国民经济研究局研究员,美国艺术与科学院院士,计量经济学会会员。曾任教于以色列希伯来大学和美国哈佛大学。主要教授劳动经济学和计量经济学,研究领域广泛,涉及教育经济学、社会实验、公共项目的计量经济学方法研究以及政策评估。 约恩-斯特芬·皮施克 Jorn-steffen Pischke 英国伦敦政治经济学院(LSE)教授,LSE经济表现中心资深研究员。主要教授劳动经济学和计量经济学,研究领域集中于教育政策评估,包括义务教育的收入回报、学期长短对学生成绩的影响,以及班级成员间的影响效应等。
    Mastering Metrics: The Path from Cause to Effect
    搜索《Mastering Metrics: The Path from Cause to Effect》
    图书

    Mastering Metrics: The Path from Cause to Effect - 图书

    2014
    导演:Joshua D. Angrist
    Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is excitin...(展开全部)
    Mastering Metrics: The Path from Cause to Effect
    搜索《Mastering Metrics: The Path from Cause to Effect》
    图书

    Mastering Metrics: The Path from Cause to Effect - 图书

    2014
    导演:Joshua D. Angrist
    Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is excitin...(展开全部)
    Mastering Metrics: The Path from Cause to Effect
    搜索《Mastering Metrics: The Path from Cause to Effect》
    图书

    Mastering Metrics: The Path from Cause to Effect - 图书

    2014
    导演:Joshua D. Angrist
    乔舒亚·安格里斯特 Joshua D. Angrist 美国麻省理工学院Ford经济学教授,美国国民经济研究局研究员,美国艺术与科学院院士,计量经济学会会员。曾任教于以色列希伯来大学和美国哈佛大学。主要教授劳动经济学和计量经济学,研究领域广泛,涉及教育经济学、社会实验、公共项目的计量经济学方法研究以及政策评估。 约恩-斯特芬·皮施克 Jorn-steffen Pischke 英国伦敦政治经济学院(LSE)教授,LSE经济表现中心资深研究员。主要教授劳动经济学和计量经济学,研究领域集中于教育政策评估,包括义务教育的收入回报、学期长短对学生成绩的影响,以及班级成员间的影响效应等。
    Mastering Metrics: The Path from Cause to Effect
    搜索《Mastering Metrics: The Path from Cause to Effect》
    图书

    The Book of Why: The New Science of Cause and Effect - 图书

    导演:Judea Pearl
    A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence “Correlation is not causation.” This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pe...(展开全部)
    The Book of Why: The New Science of Cause and Effect
    搜索《The Book of Why: The New Science of Cause and Effect》
    图书

    The Book of Why: The New Science of Cause and Effect - 图书

    导演:Judea Pearl
    朱迪亚·珀尓(Judea Pearl) 现加州大学洛杉矶分校计算机科学教授,“贝叶斯网络”之父,2011年因创立因果推理演算法获得图灵奖,同时也是美国国家科学院院士,IEEE 智能系统名人堂第一批10位入选者之一。目前已出版3本关于因果关系科学的经典著作,分别为《启发法》(1984)、《智能系统中的概率推理》(1988) 和《因果论:模型、论证、推理》(2009)。他还获得过多项顶级科学荣誉,包括认知科学领域的鲁梅哈特奖、物理学及技术领域的富兰克林奖章以及科学哲学领域的拉卡托斯奖。 达纳·麦肯齐(Dana Mackenzie) 普林斯顿大学数学博士,自由科学记者,知名科普作家,著有《无言的宇宙》等作品,其学术论文多次收录于《科学》《新科学家》《科学美国》《探索》等重量级期刊。
    The Book of Why: The New Science of Cause and Effect
    搜索《The Book of Why: The New Science of Cause and Effect》
    图书

    The Book of Why: The New Science of Cause and Effect - 图书

    导演:Judea Pearl
    A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pe...(展开全部)
    The Book of Why: The New Science of Cause and Effect
    搜索《The Book of Why: The New Science of Cause and Effect》
    图书
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