{"id":24075,"date":"2021-02-27T22:46:43","date_gmt":"2021-02-27T14:46:43","guid":{"rendered":"https:\/\/swarma.org\/?p=24075"},"modified":"2021-02-27T22:46:43","modified_gmt":"2021-02-27T14:46:43","slug":"%e5%9b%a0%e6%9e%9c%e7%a7%91%e5%ad%a6%e5%85%a5%e9%97%a8%e8%af%bb%e4%bb%80%e4%b9%88%e4%b9%a6%ef%bc%9fy-bengio%e5%8d%9a%e5%a3%ab%e5%80%99%e9%80%89%e4%ba%ba%e7%9a%84%e7%a0%94%e8%af%bb%e8%b7%af%e5%be%84","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=24075","title":{"rendered":"\u56e0\u679c\u79d1\u5b66\u5165\u95e8\u8bfb\u4ec0\u4e48\u4e66\uff1fY. Bengio\u535a\u58eb\u5019\u9009\u4eba\u7684\u7814\u8bfb\u8def\u5f84\u63a8\u8350"},"content":{"rendered":"
<\/p>\n

\u5bfc\u8bed<\/p>\n

\u867d\u8bf4\u4e66\u5c71\u6709\u8def\u52e4\u4e3a\u5f84\uff0c\u4f46\u60f3\u8981\u201c\u66f4\u5feb\u3001\u66f4\u597d\u3001\u66f4\u7701\u65f6\u201d\u5730\u5165\u95e8\u56e0\u679c\u79d1\u5b66\u9886\u57df\uff0c\u4f17\u591a\u4e66\u7c4d\u4e2d\u5982\u4f55\u627e\u5230\u9002\u5408\u81ea\u5df1\u7684\u90a3\u6761\u8def\uff1f\u6765\u770b\u4e3a\u56e0\u679c\u79d1\u5b66\u7684\u63a8\u52a8\u505a\u51fa\u4e86\u5f88\u591a\u8d21\u732e\u7684Brady Neal\u662f\u5982\u4f55\u8bf4\u7684\uff1f
<\/p>\n

\u5f53\u4eba\u5de5\u667a\u80fd\u7684\u53ef\u89e3\u91ca\u6027\u548c\u9c81\u68d2\u6027\u7b49\u95ee\u9898\u66b4\u9732\u7684\u65f6\u5019\uff0c\u4eba\u4eec\u5f00\u59cb\u5bfb\u6c42\u66f4\u597d\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u679c\u79d1\u5b66\u6210\u4e3a\u4e86\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u65b0\u5ba0\u513f\uff0c\u5438\u5f15\u8d8a\u6765\u8d8a\u591a\u7684\u79d1\u7814\u5de5\u4f5c\u8005\u6295\u8eab\u4e8e\u8be5\u9886\u57df\u4ee5\u4fc3\u8fdb\u8fd9\u4e2a\u5b66\u79d1\u7684\u53d1\u5c55\u3002\u867d\u7136\u76ee\u524d\u56e0\u679c\u79d1\u5b66\u7684\u53d1\u5c55\u8fd8\u5904\u4e8e\u975e\u5e38\u65e9\u671f\u7684\u9636\u6bb5\uff0c\u4f46\u662f\u53ef\u4ee5\u770b\u5230\u8fd9\u4e2a\u5b66\u79d1\u9886\u57df\u7684\u6d3b\u529b\uff0c\u4e5f\u5f88\u9ad8\u5174\u770b\u5230\u8d8a\u6765\u8d8a\u591a\u7684\u4eba\u5bf9\u8fd9\u4e2a\u9886\u57df\u611f\u5174\u8da3\u3002<\/p>\n

\u8fd9\u7bc7\u6587\u7ae0\u7ffb\u8bd1\u4e8eYoshua Bengio\u7684\u535a\u58eb\u5019\u9009\u4ebaBrady Neal\uff0c\u4ed6\u4e3a\u56e0\u679c\u79d1\u5b66\u7684\u63a8\u52a8\u505a\u51fa\u4e86\u5f88\u591a\u7684\u8d21\u732e\uff0c\u5305\u62ec\u5f00\u8bbe\u56e0\u679c\u63a8\u65ad\u7684\u5165\u95e8\u57fa\u7840\u8bfe\u7a0b\u3002\u8fd9\u4e2a\u662f\u4ed6\u4e3a\u521d\u5b66\u8005\u6574\u7406\u7684\u4e00\u4e2a\u6d41\u7a0b\u56fe\uff0c\u7528\u6765\u6307\u5bfc\u60f3\u8981\u5165\u95e8\u56e0\u679c\u79d1\u5b66\u9886\u57df\u7684\u540c\u5b66\u6765\u5728\u4f17\u591a\u7684\u53c2\u8003\u4e66\u7c4d\u4e2d\u627e\u5230\u5408\u9002\u7684\u8def\u5f84\u3002\u96c6\u667a\u4ff1\u4e50\u90e8\u5bf9\u76f8\u5173\u5185\u5bb9\u8fdb\u884c\u4e86\u6c49\u5316\uff0c\u65b9\u4fbf\u5927\u5bb6\u7406\u89e3\u3002\u5982\u679c\u5927\u5bb6\u60f3\u8981\u4e86\u89e3\u66f4\u591a\u56e0\u679c\u79d1\u5b66\u7684\u8d44\u8baf\uff0c\u4e5f\u53ef\u4ee5\u53bb\u5230\u4ed6\u7684\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/www.bradyneal.com\/aboutme<\/p>\n

Brady Neal\u4e3b\u8981\u7740\u91cd\u4ecb\u7ecd\u4e86\u516d\u672c\u56e0\u679c\u79d1\u5b66\u57fa\u7840\u4e66\u7c4d\uff0c\u6db5\u76d6\u4e86\u56e0\u679c\u79d1\u5b66\u7684\u5165\u95e8\u57fa\u7840\uff0c\u56e0\u679c\u63a8\u65ad\u4e0e\u673a\u5668\u5b66\u4e60\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u4ee5\u53ca\u56e0\u679c\u79d1\u5b66\u5728\u4e0d\u540c\u5b66\u79d1\u4e4b\u95f4\u7684\u5e94\u7528\u3002<\/p>\n

\u672c\u6b21\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u4e5f\u56f4\u7ed5\u5176\u4e2d\u63a8\u8350\u76842\u672c\u4e66\u7c4d\uff0c\u7ec4\u7ec7\u4e86\u6df1\u5ea6\u7cbe\u8bfb\u7684\u8bfb\u4e66\u4f1a\uff0c\u65b0\u7684\u8bfb\u4e66\u4f1a<\/a>\u5c06\u7740\u91cd\u4ecb\u7ecd\u5982\u4f55\u8ba1\u7b97\u5e72\u9884\u5206\u5e03\uff0c\u5982\u4f55\u4ece\u89c2\u5bdf\u548c\u5e72\u9884\u6570\u636e\u4e2d\u63a8\u65ad\u56e0\u679c\u6a21\u578b\uff0c\u4ee5\u53ca\u56e0\u679c\u601d\u60f3\u5982\u4f55\u4ea7\u751f\u7528\u4e8e\u7ecf\u5178\u673a\u5668\u5b66\u4e60\u95ee\u9898\u3002\u975e\u5e38\u9002\u5408\u6709\u673a\u5668\u5b66\u4e60\u80cc\u666f\uff0c\u5e0c\u671b\u6df1\u5165\u5b66\u4e60\u7814\u7a76\u56e0\u679c\u79d1\u5b66\u7684\u57fa\u7840\u77e5\u8bc6\u548c\u91cd\u8981\u6a21\u578b\u65b9\u6cd5\uff0c\u5bfb\u6c42\u89e3\u51b3\u76f8\u5173\u7814\u7a76\u95ee\u9898\u7684\u670b\u53cb\u53c2\u52a0\u3002\u6b22\u8fce\u53c2\u52a0\uff01<\/p>\n


\u4e3a\u4e86\u8ba9\u4f60\u57fa\u4e8e\u6d41\u7a0b\u56fe\uff0c\u80fd\u591f\u66f4\u6e05\u6670\u660e\u786e\u5730\u77e5\u9053\u8981\u8bfb\u90a3\u672c\u4e66\uff0cBrady Neal\u57fa\u4e8e\u4ed6\u81ea\u5df1\u7684\u8ba4\u8bc6\uff0c\u4e3a\u8fd9\u4e9b\u4e66\u7c4d\u505a\u4e00\u4e2a\u7b80\u77ed\u7684\u4ecb\u7ecd\u3002<\/p>\n

\u56e0\u679c\u63a8\u65ad\u57fa\u7840 Elements of Causal Inferencece

Brady Neal\uff1a\u8fd9\u672c\u4e66\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u80cc\u666f\u7684\u4eba\u6765\u8bf4\u662f\u975e\u5e38\u68d2\u7684\u3002\u8fd9\u672c\u4e66\u4e2d\u6709\u4e24\u7ae0\u7740\u91cd\u4ecb\u7ecd\u4e86\u56e0\u679c\u63a8\u7406\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u8054\u7cfb\u3002\u540c\u65f6\u8fd9\u672c\u4e66\u53ef\u80fd\u662f\u5b66\u4e60\u6700\u65b0\u56e0\u679c\u53d1\u73b0\uff08\u7ed3\u6784\u5b66\u4e60\u6280\u672f\uff09\u7684\u6700\u4f73\u4e66\u7c4d\u3002\u867d\u7136\u201c\u56e0\u679c\u63a8\u65ad\u201d\u4e00\u8bcd\u5728\u5176\u4ed6\u4e66\u7c4d\u4e2d\u53ef\u80fd\u5e76\u672a\u5305\u62ec\u56e0\u679c\u53d1\u73b0\uff0c\u4f46\u5728\u672c\u4e66\u4e2d\u4e0d\u4ec5\u5305\u542b\u4e86\u56e0\u679c\u53d1\u73b0\uff0c\u800c\u4e14\u8fd8\u5360\u4e86\u5f88\u5927\u7684\u6bd4\u91cd\uff0c\u4e0e\u6b64\u540c\u65f6\u5b83\u4ecd\u7136\u4e3a\u80fd\u591f\u63d0\u4f9b\u5173\u4e8e\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08SCM\uff09\u7684\u826f\u597d\u57fa\u7840\u3002
\u4f5c\u8005\uff1aJonas Peters, Dominik Janzing and Bernhard Sch\u00f6lkopf
\u76f8\u5173\u94fe\u63a5\uff1ahttps:\/\/mitpress.mit.edu\/books\/elements-causal-inference
\u7f16\u8005\u6309\uff1a\u8fd9\u672c\u4e66\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63<\/a>\u7684\u4e3b\u8981\u7cbe\u8bfb\u4e66\u7c4d\u4e4b\u4e00\uff0c\u4f1a\u901a\u8fc7\u95ee\u9898\u8bb2\u89e3\u3001\u5185\u5bb9\u5bfc\u8bfb\u3001\u7f16\u7a0b\u5b9e\u6218\u7684\u65b9\u5f0f\uff0c\u8ba9\u5927\u5bb6\u5728\u5b9e\u8df5\u4e2d\u5b66\u4e60\u91cd\u8981\u7684\u6982\u5ff5\uff0c\u5e76\u52a0\u4ee5\u5e94\u7528\uff0c\u6b22\u8fce\u5927\u5bb6\u62a5\u540d\u6765\u5171\u540c\u5b66\u4e60\uff01<\/p>\n

Causal Inference: What If

Brady Neal\uff1a\u8fd9\u672c\u4e66\u662f\u6211\u8bfb\u8fc7\u7684\u6240\u6709\u4e66\u7c4d\u4e2d\u6700\u5b9e\u7528\u7684\u4e00\u672c\u4e66\u3002\u4f8b\u5982\uff0c\u5b83\u662f\u552f\u4e00\u6db5\u76d6\u201cpositivity\u201d\uff08\u6216\u201coverlap\u201d\uff09\u8fd92\u4e2a\u91cd\u8981\u6982\u5ff5\u7684\u4e66\uff0c\u8fd9\u662f\u4f30\u8ba1\u56e0\u679c\u6548\u5e94\u6240\u5fc5\u987b\u8981\u6ee1\u8db3\u7684\u91cd\u8981\u6761\u4ef6\u3002\u8fd9\u4e5f\u662f\u8fd9\u51e0\u672c\u4e66\u4e2d\u552f\u4e00\u4e00\u672c\u771f\u6b63\u6d89\u53ca\u5982\u4f55\u4f30\u8ba1\u7ed3\u679c\u6a21\u578b\u548c\u503e\u5411\u8bc4\u5206\u6a21\u578b\u7684\u4e66\uff0c\u8fd9\u4e24\u4e2a\u6a21\u578b\u5e38\u7528\u4e8e\u4f30\u8ba1\u73b0\u5b9e\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\u3002\u5b9e\u9645\u4e0a\uff0c\u672c\u4e66\u4e2d\u6709\u5f88\u5927\u4e00\u90e8\u5206\u4e13\u95e8\u4ecb\u7ecd\u53ef\u5728\u5b9e\u9645\u4e2d\u5e94\u7528\u7684\u5404\u79cd\u4f30\u8ba1\u91cf\u3002\u672c\u4e66\u7684\u4f5c\u8005\u4e4b\u4e00Jamie Robins\u5728\u6d41\u884c\u75c5\u5b66\u548c\u56e0\u679c\u63a8\u7406\u4e2d\u662f\u4e00\u4e2a\u975e\u5e38\u91cd\u8981\u7684\u4eba\u7269\u3002\u4f8b\u5982\uff0c\u6731\u8fea\u4e9a\u00b7\u73c0\u5c14\uff08Judea Pearl\uff09\u8ba4\u4e3aRobins\u5728\u4ed61986\u5e74\u8bba\u6587\u4e2d\u5c31\u9996\u6b21\u9690\u542b\u5730\u628a\u8c03\u6574\u516c\u5f0f\u63d0\u51fa\u6765\u4e86\uff08\u8fd9\u662f\u7b2c\u4e00\u6b21\u5728\u6587\u732e\u4e2d\u53ef\u4ee5\u770b\u51fa\u8c03\u6574\u516c\u5f0f\uff09\u3002
\u4f5c\u8005\uff1aHern\u00e1n MA, Robins JM
\u76f8\u5173\u94fe\u63a5\uff1ahttps:\/\/www.hsph.harvard.edu\/miguel-hernan\/causal-inference-book\/<\/p>\n

Causal Inference in Statistics: A Primer
<\/p>\n

Brady Neal\uff1a\u8fd9\u672c\u4e66\u53ef\u80fd\u662f\u5f88\u591a\u4eba\u4e86\u89e3\u56e0\u679c\u63a8\u65ad\u7684\u7684\u7b2c\u4e00\u672c\u4e66\uff0c\u4e5f\u662f\u8ba4\u4e3a\u662f\u6700\u597d\u7684\u4e00\u672c\u3002\u5b83\u6db5\u76d6\u4e86\u5bf9\u56e0\u679c\u63a8\u7406\u548c\u56e0\u679c\u7ed3\u6784\u6a21\u578b\u6e05\u6670\u3001\u5168\u9762\u3001\u7b80\u4ecb\u7684\u4ecb\u7ecd\u3002Judea Pearl\u662f\u672c\u4e66\u7684\u7b2c\u4e00\u4f5c\u8005\uff0c\u4ed6\u4e3a\u56e0\u679c\u63a8\u7406\u505a\u51fa\u4e86\u8bb8\u591a\u91cd\u8981\u7684\u8d21\u732e\uff0c\u5e76\u5f00\u521b\u4e86\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u7684\u6846\u67b6\u3002
\u4f5c\u8005\uff1aJudea Pearl, Madelyn Glymour, Nicholas P. Jewell
\u76f8\u5173\u94fe\u63a5\uff1ahttp:\/\/bayes.cs.ucla.edu\/PRIMER\/
\u7f16\u8005\u6309\uff1a\u8fd9\u672c\u4e66\u4e5f\u5df2\u7ecf\u6709\u76f8\u5173\u7684\u4e2d\u6587\u7ffb\u8bd1\u7248\u672c\uff0c\u53ef\u4ee5\u67e5\u770b\u76f8\u5173\u7684\u4e2d\u6587\u7248\u672c\u300a\u7edf\u8ba1\u56e0\u679c\u63a8\u7406\u5165\u95e8\u300b\uff0c\u5404\u5927\u4e66\u5e97\u5747\u6709\u552e\uff0c\u8fd9\u672c\u4e66\u4e5f\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63<\/a>\u7684\u4e3b\u8981\u7cbe\u8bfb\u4e66\u7c4d\u4e4b\u4e00\uff0c\u4f1a\u901a\u8fc7\u95ee\u9898\u8bb2\u89e3\u3001\u5185\u5bb9\u5bfc\u8bfb\u3001\u7f16\u7a0b\u5b9e\u6218\u7684\u65b9\u5f0f\uff0c\u8ba9\u5927\u5bb6\u5728\u5b9e\u8df5\u4e2d\u5b66\u4e60\u91cd\u8981\u7684\u6982\u5ff5\uff0c\u5e76\u52a0\u4ee5\u5e94\u7528\u3002<\/p>\n

Causality: Models, Reasoning and Inference<\/p>\n


Brady Neal\uff1a\u6211\u53ea\u4f1a\u5411\u60f3\u6210\u4e3a\u56e0\u679c\u7ed3\u6784\u6a21\u578b\u4e13\u5bb6\u7684\u4eba\u63a8\u8350\u8fd9\u672c\u4e66\u3002\u56e0\u4e3a\u8fd9\u672c\u4e66\u662f\u975e\u5e38\u7279\u522b\u7684\uff0c\u4e5f\u662f\u8fd9\u4e2a\u65b9\u9762\u6211\u552f\u4e00\u60f3\u63a8\u8350\u7684\u4e00\u672c\u4e66\u3002\u8fd9\u672c\u4e66\u91cc\u9762\u6709\u5f88\u591a\u5f88\u68d2\u7684\u7406\u8bba\uff0c\u4f46\u662f\u5374\u6bd4\u8f83\u96be\u4ee5\u7406\u89e3\uff0c\u5c24\u5176\u662f\u5bf9\u6ca1\u6709\u4efb\u4f55\u56e0\u679c\u7ed3\u6784\u6a21\u578b\u65b9\u9762\u7684\u77e5\u8bc6\uff0c\u6216\u6ca1\u6709\u8db3\u591f\u7684\u52a8\u529b\u53bb\u5b66\u4e60\u66f4\u591a\u6709\u5173\u56e0\u679c\u7ed3\u6784\u6a21\u578b\u7684\u77e5\u8bc6\u7684\u4eba\u800c\u8a00\u3002\u5c31\u8fd9\u4e48\u8bf4\u5427\uff0c\u8fd9\u672c\u4e66\u7ecf\u5e38\u5728\u7f51\u4e0a\u88ab\u523b\u8584\u5730\u8bc4\u4ef7\uff0c\u6211\u6000\u7591\u8fd9\u4e9b\u8bc4\u8bba\u4e2d\u5927\u90e8\u5206\u4eba\u662f\u5bf9\u56e0\u679c\u7ed3\u6784\u6a21\u578b\u4e0d\u611f\u5174\u8da3\u6216\u8005\u6ca1\u6709\u57fa\u7840\u7684\u524d\u7f6e\u77e5\u8bc6\u3002\u6211\u8ba4\u4e3a\u5728\u5bf9\u56e0\u679c\u5173\u7cfb\u6709\u4e86\u6df1\u523b\u7684\u7406\u89e3\u4e4b\u540e\uff08\u4f8b\u5982\u901a\u8fc7\u5148\u9605\u8bfb\u5176\u4ed6\u57fa\u7840\u4e66\u7c4d\uff09\uff0c\u4ed6\u4eec\u4f1a\u5bf9\u8fd9\u672c\u4e66\u6709\u66f4\u597d\u7684\u7406\u89e3\u3002\u5982\u679c\u4e00\u4e2a\u4eba\u5728\u56e0\u679c\u5173\u7cfb\u7814\u7a76\u4e2d\u5148\u8bfb\u4e86\u8fd9\u672c\u4e66\uff0c\u5f53\u4ed6\u4eec\u540e\u7eed\u518d\u6765\u56de\u987e\u8fd9\u672c\u4e66\u7684\u5185\u5bb9\u4e5f\u4f1a\u975e\u5e38\u6709\u610f\u4e49\u3002
\u4f5c\u8005\uff1aJudea Pearl
\u76f8\u5173\u94fe\u63a5\uff1ahttp:\/\/bayes.cs.ucla.edu\/BOOK-2K\/<\/p>\n


Counterfactuals and Causal Inference: Methods and Principles for Social Research

Brady Neal\uff1a\u8fd9\u662f\u53e6\u4e00\u672c\u975e\u5e38\u5b9e\u7528\u7684\u4e66\uff08\u9664\u4e86Hern\u00e1n\uff06Robins\u6240\u5199\u7684What if\u8fd9\u672c\u4e66\u4e4b\u5916\uff09\u3002\u672c\u4e66\u4f5c\u8005\u8be6\u7ec6\u5217\u4e3e\u4e86\u8bb8\u591a\u4f8b\u5b50\uff0c\u4e14\u672c\u4e66\u7bc7\u5e45\u66f4\u957f\uff0c\u6db5\u76d6\u4e86\u7ecf\u6d4e\u5b66\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u6574\u4e2a\u793e\u4f1a\u79d1\u5b66\u4e2d\u4e0e\u56e0\u679c\u63a8\u7406\u76f8\u5173\u4e3b\u9898\u7684\u53c2\u8003\u6587\u732e\u3002\u4f5c\u8005\u5229\u7528\u793e\u4f1a\u79d1\u5b66\u4e2d\u7684\u8bb8\u591a\u5b9e\u9645\u4f8b\u5b50\u3002\u5982\u679c\u662f\u4e00\u4e2a\u559c\u6b22\u62bd\u8c61\u800c\u4e0d\u662f\u5177\u4f53\u4e8b\u4f8b\u7684\u4eba\uff0c\u8fd9\u672c\u4e66\u6709\u65f6\u53ef\u80fd\u4f1a\u6709\u4e9b\u5197\u957f\uff08\u6709\u7684\u4f8b\u5b50\u770b\u8d77\u6765\u592a\u957f\u4e86\uff09\u3002\u8fd9\u672c\u4e66\u6700\u5927\u7684\u597d\u5904\u5c31\u662f\uff0c\u9488\u5bf9\u4ed6\u4eec\u6240\u8ba8\u8bba\u7684\u5185\u5bb9\uff0c\u4ed6\u4eec\u53ef\u4ee5\u975e\u5e38\u597d\u7684\u5f15\u5bfc\u5927\u5bb6\u83b7\u5f97\u6700\u76f8\u5173\u53c2\u8003\u6587\u732e\uff0c\u5e76\u4e14\u63d0\u4f9b\u8fd9\u4e9b\u8bba\u6587\u4e2d\u6700\u5173\u952e\u7684\u7ec6\u8282\u3002\u672c\u4e66\u5f88\u597d\u5730\u7ed3\u5408\u4e86\u6f5c\u7ed3\u679c\u6846\u67b6\u548c\u56e0\u679c\u56fe\u6a21\u578b\u7684\u89c2\u70b9\uff0c\u5e76\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u5b83\u4eec\u6db5\u76d6\u4e863\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u57fa\u4e8e\u6761\u4ef6\u7684\u56e0\u679c\u6548\u5e94\u4f30\u8ba1\uff0c\u5e76\u5206\u522b\u7528\u4e00\u7ae0\u6765\u8fdb\u884c\u9610\u8ff0\uff1a\u5339\u914d\uff0c\u56de\u5f52\u548c\u9006\u6982\u7387\u52a0\u6743\u3002\u4ed6\u4eec\u8fd8\u4e13\u95e8\u4ecb\u7ecd\u4e86\u5de5\u5177\u53d8\u91cf\u548c\u524d\u95e8\u8c03\u6574\u65b9\u6cd5\u3002
\u4f5c\u8005\uff1aStephen L. Morgan,Christopher Winship
\u76f8\u5173\u94fe\u63a5\uff1ahttp:\/\/bayes.cs.ucla.edu\/BOOK-2K\/<\/p>\n

Mostly Harmless Econometrics<\/p>\n

Brady Neal\uff1a\u5982\u679c\u4f60\u60f3\u4e86\u89e3\u666e\u901a\u7ecf\u6d4e\u5b66\u5bb6\u5bf9\u56e0\u679c\u63a8\u65ad\u7684\u770b\u6cd5\uff0c\u90a3\u4e48\u8fd9\u5c31\u662f\u9002\u5408\u4f60\u7684\u4e66\uff0c\u56e0\u4e3a\u6211\u76f8\u4fe1\u5b83\u662f\u8ba1\u91cf\u7ecf\u6d4e\u5b66\u8bfe\u7a0b\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u4e66\u3002\u8fd9\u672c\u4e66\u4e0e\u5176\u4ed6\u4e66\u5b8c\u5168\u4e0d\u540c\u3002\u5b83\u4e0d\u592a\u5173\u6ce8\u57fa\u4e8e\u6761\u4ef6\u7684\u4f30\u8ba1\uff08\u8bf7\u8003\u8651\u540e\u95e8\u8c03\u6574\uff09\u3002\u76f8\u53cd\uff0c\u5b83\u628a\u91cd\u70b9\u653e\u5728\u51c6\u5b9e\u9a8c\u65b9\u6cd5\u4e0a\uff0c\u4f8b\u5982\u5de5\u5177\u53d8\u91cf\uff0c\u53cc\u91cd\u5dee\u5206\u548c\u65ad\u70b9\u56de\u5f52\u5206\u6790\u3002\u56e0\u4e3a\u8fd9\u672c\u4e66\u662f2008\u5e74\u51fa\u7248\u7684\uff0c\u56e0\u6b64\u4e0d\u4f1a\u6db5\u76d6\u8bf8\u5982\u7efc\u5408\u63a7\u5236\u4e4b\u7c7b\u7684\u6700\u65b0\u65b9\u6cd5\u3002\u5982\u679c\u60f3\u770b\u7efc\u5408\u63a7\u5236\u65b9\u6cd5\u7684\u6700\u65b0\u6559\u6750\uff0c\u53ef\u4ee5\u53c2\u8003Scott Cunningham\u51fa\u7248\u7684Causal Inference: The Mixtape\u4e00\u4e66\u3002
\u7f16\u8005\u6309\uff1a\u8fd9\u672c\u4e66\u4e5f\u51fa\u7248\u4e86\u4e2d\u6587\u7248\u672c\u300a\u57fa\u672c\u65e0\u5bb3\u7684\u8ba1\u91cf\u7ecf\u6d4e\u5b66\u300b\uff0c\u53ef\u4ee5\u627e\u76f8\u5173\u8d44\u6599\u6765\u914d\u5408\u5b66\u4e60\u3002
\u4f5c\u8005\uff1aJoshua D. Angrist and J\u00f6rn-Steffen Pischke
\u76f8\u5173\u94fe\u63a5\uff1ahttps:\/\/www.mostlyharmlesseconometrics.com\/<\/p>\n

\u5176\u4ed6\u8981\u8003\u8651\u7684\u4e66<\/p>\n

\u73b0\u5728\u6211\u5c06\u5217\u51fa\u4e00\u4e9b\u6211\u8fd8\u6ca1\u6709\u627e\u5230\u65b9\u6cd5\u5e76\u5165\u5230\u5f53\u524d\u6d41\u7a0b\u56fe\u7684\u4e66\u7c4d\u3002\u5176\u4e2d\u4e00\u4e9b\u53ef\u80fd\u4f1a\u5728\u672a\u6765\u5e76\u5165\u6d41\u7a0b\u56fe\u4e2d\u3002\u73b0\u5728\uff0c\u6211\u53ea\u5bf9\u6bcf\u4e2a\u4e66\u7c4d\u4ecb\u7ecd\u4e00\u70b9\u70b9:
Explanation in Causal Inference: Methods for Mediation and Interaction (VanderWeele, 2015) -\u8fd9\u672c\u4e66\u662f\u60f3\u8981\u6210\u4e3a\u4e2d\u4ecb\uff08mediation\uff09\u548c\u5e72\u9884\uff08interaction\uff09\u4e13\u5bb6\u7684\u9996\u9009\u3002\u8fd9\u672c\u4e66\u7684\u4e3b\u8981\u90e8\u5206\u662f\u4e3a\u5927\u4f17\u8bbe\u8ba1\u7684\uff0c\u6240\u4ee5\u4e0d\u662f\u975e\u5e38\u6280\u672f\u6027\u3002\u7136\u800c\uff0c\u8fd9\u672c\u4e66\u9644\u5f55\u51e0\u4e4e\u53ef\u4ee5\u88ab\u5f53\u4f5c\u5b83\u81ea\u5df1\u7684\u4e66\u6765\u8bfb\uff0c\u5305\u542b\u4e86\u6240\u6709\u6280\u672f\u578b\u8bfb\u8005\u611f\u5174\u8da3\u7684\u6240\u6709\u6280\u672f\u7ec6\u8282\u3002\u6b64\u5916\uff0c\u8fd9\u672c\u4e66\u8fd8\u83b7\u5f97\u4e86\u7f8e\u56fd\u7edf\u8ba1\u534f\u4f1a2015\u5e74\u7684\u201c\u7edf\u8ba1\u6559\u80b2\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\u201d\u5956\u3002
Observation and Experiment: An Introduction to Causal Inference (Rosenbaum, 2017) – Rosenbaum \u5199\u4e86\u4e0a\u9762\u6d41\u7a0b\u56fe\u4e2d\u7684\u201cDesign of Observational Studies\u201d (2010) \u4e00\u4e66\uff0c\u4ed6\u8fd8\u57282002\u5e74\u4e5f\u5199\u8fc7\u53e6\u4e00\u672c\u56e0\u679c\u63a8\u7406\u4e66\u3002\u4ece\u6211\u8bfb\u5230\u7684\u90e8\u5206\u6765\u770b\uff0c\u6211\u73b0\u5728\u8ba4\u4e3a\u8fd9\u672c2017\u5e74\u51fa\u7248\u7684\u4e66\u5e94\u8be5\u6bd4\u4ed62010\u5e74\u51fa\u7248\u7684\u4e66\u66f4\u597d\u4e00\u4e9b\u3002\u4ee5\u4e0b\u662f Rosenbaum \u5bf9\u8fd9\u672c\u4e66\u7684\u770b\u6cd5:
\u6211\u5728\u8fd9\u672c\u4e66\u4e2d\u7684\u76ee\u6807\u662f\u7528\u6700\u5c11\u7684\u6280\u672f\u6027\u6982\u5ff5\uff0c\u6e05\u6670\u4e14\u7cbe\u51c6\u5730\u5448\u73b0\u56e0\u679c\u63a8\u65ad\u7684\u6982\u5ff5\u3002
Causation, Prediction, and Search (Spirtes et al., 2001) – \u672c\u4e66\u7684\u524d\u4e24\u4f4d\u4f5c\u8005(Peter Spirtes \u548c Clark Glymour)\u63d0\u51fa\u4e86\u7ecf\u5178\u7684 PC\u7b97\u6cd5 (Peter \u548c Clark)\u6765\u5b66\u4e60\u9a6c\u5c14\u53ef\u592b\u7b49\u4ef7\u7c7b\u7684\u56fe\u3002Pearl \u8ba4\u4e3a\u8fd9\u672c\u4e661993\u5e74\u51fa\u7248\u7684\u7b2c\u4e00\u4e2a\u7248\u672c\u5f15\u5165\u4e86\u5e72\u9884\u76f8\u5f53\u4e8e\u79fb\u9664\u56fe\u4e2d\u5e72\u9884\u8282\u70b9\u7684\u6240\u6709\u4f20\u5165\u8fb9\u7684\u6982\u5ff5\u3002Pearl \u8fd8\u8ba4\u4e3a\u8fd9\u672c\u4e66\u662f\u7b2c\u4e00\u672c\u660e\u786e\u8be6\u7ec6\u63d0\u51fa\u8c03\u6574\u516c\u5f0f\u7684\u4e66\u7c4d\uff08\u76f8\u5bf9\u4e8eRobins1986\u5e74\u8bba\u6587\u4e2d\u7684\u6697\u793a\uff09\u3002
Actual Causality (Halpern, 2016) – Joseph Halpern \u505a\u4e86\u5927\u91cf\u5de5\u4f5c\uff0c\u8bd5\u56fe\u6355\u6349 x \u5f15\u8d77 y \u7684\u5b9e\u9645\u56e0\u679c\u5173\u7cfb\u3002\u8fd9\u4e5f\u662f\u4e00\u672c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u662f\u5173\u4e8e\u662f\u201c\u4ec0\u4e48\u5bfc\u81f4\u4e86\u4ec0\u4e48\u201d\u6982\u5ff5\u7684\u91cd\u8981\u4e66\u7c4d\u3002
\u5f53\u7136\uff0c\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u4e66: \u4f8b\u5982\uff0cCosma Shaliz\u5373\u5c06\u51fa\u7248\u7684Advanced Data Analysis from an Elementary Point of View book, Targeted Learning (van der Laan & Rose, 2011)\u4ee5\u53ca\u5176\u4ed6\u4e00\u4e9b\u6211\u4e0d\u77e5\u9053\u7684\u4e66\uff08\u6b22\u8fce\u5728\u8bc4\u8bba\u4e2d\u53d1\u8868\uff09<\/p>\n

\u539f\u6587\u5730\u5740\uff1ahttps:\/\/www.bradyneal.com\/which-causal-inference-book<\/p>\n

\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63<\/a>\uff1aJudea Pearl \u548c Bernhard Sch\u00f6lkopf \u6559\u6750\u7cbe\u8bfb<\/p>\n

\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63\u8be6\u60c5\u8bf7\u70b9\u51fb\u4e0b\u65b9\u94fe\u63a5\u4e86\u89e3\uff1a
\u8fde\u63a5\u7edf\u8ba1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u81ea\u52a8\u63a8\u7406\u7684\u65b0\u5174\u4ea4\u53c9\u9886\u57df\u2014\u2014\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u518d\u8d77\u822a<\/a><\/p>\n

\u8bfb\u4e66\u4f1a\u4e3b\u8981\u9605\u8bfb\u6750\u6599<\/p>\n


\u30101\u3011Pearl, Judea, Madelyn Glymour, and Nicholas P. Jewell. Causal inference in statistics: A primer. John Wiley & Sons, 2016.\u672c\u4e66\u4e2d\u8bd1\u7248\u300a\u7edf\u8ba1\u56e0\u679c\u63a8\u7406\u5165\u95e8\uff08\u7ffb\u8bd1\u7248\uff09\u300b\u5df2\u7531\u9ad8\u7b49\u6559\u80b2\u51fa\u7248\u793e\u51fa\u7248\u3002\u30102\u3011Peters, Jonas, Dominik Janzing, and Bernhard Sch\u00f6lkopf. Elements of causal inference: foundations and learning algorithms. The MIT Press, 2017.<\/p>\n

\u53c2\u4e0e\u65b9\u5f0f\u53ca\u65f6\u95f4<\/p>\n


\u53d1\u8d77\u4eba\u5458\uff1a<\/p>\n

\u4e2d\u56fd\u79d1\u5b66\u9662\u8ba1\u7b97\u6280\u672f\u7814\u7a76\u6240\u5728\u8bfb\u535a\u58eb\u674e\u5949\u6cbb\u3001\u5251\u6865\u5927\u5b66\u673a\u5668\u5b66\u4e60\u7ec4\u7684\u5728\u8bfb\u535a\u58eb\u9646\u8d85\u8d85\u4ee5\u53ca\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff08\u6df1\u5733\uff09\u8ba1\u7b97\u673a\u4fe1\u606f\u5de5\u7a0b\u5728\u8bfb\u535a\u58eb\u5f20\u5929\u5065\u3002<\/p>\n

\u53c2\u4e0e\u4eba\u5458\uff1a<\/p>\n

\u6709\u673a\u5668\u5b66\u4e60\u80cc\u666f\u3001\u5e0c\u671b\u6df1\u5165\u5b66\u4e60\u7814\u7a76\u56e0\u679c\u79d1\u5b66\u57fa\u7840\u77e5\u8bc6\u548c\u91cd\u8981\u6a21\u578b\u65b9\u6cd5\u3001\u5bfb\u6c42\u89e3\u51b3\u76f8\u5173\u79d1\u7814\u95ee\u9898\u7684\u670b\u53cb<\/p>\n

\u5bf9\u56e0\u679c\u79d1\u5b66\u611f\u5174\u8da3\u3001\u5e0c\u671b\u4e86\u89e3\u5982\u4f55\u5229\u7528\u56e0\u679c\u63a8\u7406\u624b\u6bb5\u89e3\u51b3\u5404\u4e2a\u5b66\u79d1\u95ee\u9898\u7684\u670b\u53cb<\/p>\n

\u8fd0\u884c\u6a21\u5f0f\uff1a\u4ece3\u670821\u65e5\uff08\u5468\u65e5\uff09\u5f00\u59cb\uff0c\u6bcf 1 \u5468\u75312-3\u540d\u8bfb\u4e66\u4f1a\u6210\u5458\u9886\u8bfb\u76f8\u5173\u4e66\u7c4d\u7ae0\u8282\uff08\u4ee5 PPT \u8bb2\u89e3\u7684\u5f62\u5f0f\uff0c\u817e\u8baf\u4f1a\u8bae\u5ba4\u4e92\u52a8\u4ea4\u6d41\uff09\u3002<\/p>\n

\u65f6\u95f4\uff1a
\u6bcf\u5468\u65e5\u4e0a\u5348 10:00-12:00\u4e3e\u529e\u3002\u51718-10\u671f\uff0c\u6bcf\u5468\u4e00\u671f\u3002\u6301\u7eed\u65f6\u95f4\u9884\u8ba1 2-3 \u4e2a\u6708\u3002<\/p>\n

\u65b9\u5f0f\uff1a
\u6b64\u6b21\u8bfb\u4e66\u4f1a\u4e3a\u7ebf\u4e0a\u95ed\u95e8\u8bfb\u4e66\u4f1a\uff0c\u91c7\u7528\u7684\u4f1a\u8bae\u8f6f\u4ef6\u662f\u817e\u8baf\u4f1a\u8bae\uff08\u8bf7\u63d0\u524d\u4e0b\u8f7d\u5b89\u88c5\uff09\u3002<\/p>\n

\u8d39\u7528\uff1a
\u4e3a\u4e86\u7504\u9009\u51fa\u771f\u6b63\u5bf9\u56e0\u679c\u63a8\u7406\u611f\u5174\u8da3\u3001\u6709\u76f8\u5173\u7814\u7a76\u7ecf\u9a8c\u7684\u4e13\u4e1a\u4eba\u58eb\uff0c\u4e5f\u4e3a\u6fc0\u52b1\u5c0f\u4f19\u4f34\u4eec\u575a\u6301\u5b66\u4e60\uff0c\u672c\u671f\u8bfb\u4e66\u4f1a\u5c06\u91c7\u53d6\u6536\u8d39 – \u9000\u6b3e\u7684\u4fdd\u8bc1\u91d1\u6a21\u5f0f\u3002\u8d39\u7528\u53ef\u5f00\u53d1\u7968\u3002<\/p>\n

\u5177\u4f53\u89c4\u5219\uff1a1. \u8bfb\u4e66\u4f1a\uff088-10\u671f\uff09\u4fdd\u8bc1\u91d1\u5171\u8ba1 299 \u5143\/\u4eba\u30022. \u6ee1\u8db3\u5982\u4e0b\u6761\u4ef6\u4e4b\u4e00\u8005\u5168\u989d\u9000\u6b3e\uff08\u672c\u5b63\u8bfb\u4e66\u4f1a\u7ed3\u675f\u540e\u7edf\u4e00\u9000\u8d39\uff09\uff1a\u8d21\u732e\u4e86\u4e00\u6b21\u8bb2\u5ea7\uff08\u534a\u5c0f\u65f6\u4ee5\u4e0a\uff09\u5185\u5bb9\u7684\uff08\u9700\u8981\u63d0\u524d\u5411\u4e3b\u6301\u4eba\u7533\u8bf7\u5e76\u901a\u8fc7\u8bd5\u8bb2\uff09\uff1b\u5b8c\u6210\u4e86\u4e00\u7bc7\u4ee5\u4e0a\u8bfb\u4e66\u7b14\u8bb0\u5199\u4f5c\uff0c\u5e76\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u516c\u4f17\u53f7\u5206\u4eab\u3002\uff08\u8bfb\u4e66\u7b14\u8bb0\u6807\u51c6\uff1a\u5b57\u65703\u5343\u4ee5\u4e0a\uff0c\u56fe\u6587\u5e76\u8302\uff0c\u5177\u4f53\u8bf7\u53c2\u7167\u6b64\u6587\uff1a\u56e0\u679c\u89c2\u5ff5\u65b0\u9769\u547d\uff1f\u4e07\u5b57\u957f\u6587\uff0c\u89e3\u8bfb\u590d\u6742\u7cfb\u7edf\u80cc\u540e\u7684\u6697\u56e0\u679c<\/a>\uff09\uff1b\u8ba4\u771f\u5b8c\u6210\u96c6\u667a\u767e\u79d1\u76f8\u5e94\u7684\u7f16\u64b0\u4efb\u52a1\uff0c\u7ecf\u8fc7\u96c6\u667a\u767e\u79d1\u56e2\u961f\u5ba1\u6838\u901a\u8fc7\uff0c\u5e76\u8fbe\u5230299\u79ef\u5206\u3002\uff08\u8be6\u60c5\u89c1https:\/\/wiki.swarma.org\/index.php?title=\u6fc0\u52b1\u5236\u5ea6\uff093. \u6ee1\u8db3\u4ee5\u4e0b\u6761\u4ef6\u4e4b\u4e00\u7684\u4e0d\u4ec5\u53ef\u4ee5\u5168\u989d\u9000\u6b3e\uff0c\u8fd8\u6709\u989d\u5916\u5956\u52b1\uff1a\u7531\u8bfb\u4e66\u4f1a\u5185\u5bb9\u542f\u53d1\uff0c\u4ea7\u751f\u4e86\u9760\u8c31\u7684\u65b0\u4ea7\u54c1\u521b\u610f\uff0c\u5e76\u5728\u8bfb\u4e66\u4f1a\u7ed3\u675f 2 \u4e2a\u6708\u5185\u63d0\u4ea4\u4e86\u8be6\u7ec6\u7684\u4ea7\u54c1\u7b56\u5212\u65b9\u6848\uff0c\u5e76\u901a\u8fc7\u4e86\u96c6\u667a\u4ff1\u4e50\u90e8\u7ec4\u7ec7\u7684\u76f8\u5e94\u8003\u6838\u7b54\u8fa9\u7684\uff1b\u7531\u8bfb\u4e66\u4f1a\u5185\u5bb9\u542f\u53d1\uff0c\u840c\u53d1\u4e86\u79d1\u7814\u8bba\u6587\u521b\u610f\uff0c\u5728\u8bfb\u4e66\u4f1a\u7ed3\u675f 2 \u4e2a\u6708\u5185\u5b8c\u6210\u521d\u7a3f\uff0c\u5e76\u5728\u6700\u7ec8\u7684\u8bba\u6587\u6210\u679c\u4e2d\u81f4\u8c22\u96c6\u667a\u4ff1\u4e50\u90e8\u548c\u56e0\u679c\u793e\u533a\u7684\uff08\u9700\u8981\u53d1\u8868\u5728SCI\u7b49\u6838\u5fc3\u520a\u7269\u4e0a\u3002\uff09\u4e0a\u8ff0\u89c4\u5219\u7684\u6700\u7ec8\u89e3\u91ca\u6743\u5f52\u96c6\u667a\u4ff1\u4e50\u90e8\u6240\u6709\u3002
\u62a5\u540d\uff1a\uff08\u957f\u671f\u6709\u6548\uff09<\/p>\n

<\/div>\n

\u7b2c\u4e00\u6b65\uff1a\u626b\u7801\u586b\u5199\u62a5\u540d\u4fe1\u606f\u3002
\u7b2c\u4e8c\u6b65\uff1a\u4fe1\u606f\u586b\u5199\u4e4b\u540e\uff0c\u8fdb\u5165\u4ed8\u6b3e\u6d41\u7a0b\uff0c\u63d0\u4ea4\u4fdd\u8bc1\u91d1299\u5143\u3002\uff08\u7b26\u5408\u9000\u8d39\u6761\u4ef6\u540e\u53ef\u9000\u8d39\u3002\uff09
\u7b2c\u4e09\u6b65\uff1a\u6dfb\u52a0\u8d1f\u8d23\u4eba\u5fae\u4fe1\uff0c\u62c9\u5165\u5bf9\u5e94\u7684\u8bfb\u4e66\u4f1a\u8ba8\u8bba\u7fa4\u3002<\/p>\n

\u6211\u4eec\u4e5f\u4f1a\u5bf9\u6bcf\u6b21\u5206\u4eab\u7684\u5185\u5bb9\u8fdb\u884c\u5f55\u5236\uff0c\u526a\u8f91\u540e\u53d1\u5e03\u5728\u96c6\u667a\u5b66\u56ed\u7684\u5b98\u7f51\u4e0a\uff0c\u4f9b\u8bfb\u4e66\u4f1a\u6210\u5458\u56de\u770b\u3002<\/p>\n


\u8bfb\u4e66\u4f1a\u5b89\u6392<\/p>\n


\uff08\u4ee5\u4e0b\u5185\u5bb9\u4e3a\u521d\u6b65\u6846\u67b6\uff0c\u4f1a\u5728\u8bfb\u4e66\u4f1a\u8fdb\u7a0b\u4e2d\u589e\u52a0\u6216\u8005\u5b8c\u5584\u66f4\u591a\u7684\u5185\u5bb9\u8be6\u60c5\uff09<\/p>\n

\u3010\u7b2c\u4e00\u5468\u3011\u56e0\u679c\u6982\u8bba\u4e0e\u7edf\u8ba1\u5b66\u57fa\u7840
\u672c\u5468\u5c06\u4ece\u5b8f\u89c2\u89d2\u5ea6\u5206\u6790\u56e0\u679c\u79d1\u5b66\u7684\u7814\u7a76\u610f\u4e49\uff0c\u901a\u8fc7\u73b0\u5b9e\u793e\u4f1a\u4e2d\u67d0\u4e9b\u7279\u5b9a\u95ee\u9898\u7684\u4f8b\u5b50\u6765\u5c55\u73b0\u56e0\u679c\u79d1\u5b66\u7684\u9b45\u529b\u3002\u4e4b\u540e\u5c06\u4ece\u7edf\u8ba1\u5b66\u57fa\u7840\u77e5\u8bc6\u5165\u624b\uff0c\u5148\u6982\u8ff0\u53d8\u91cf\u3001\u6982\u7387\u3001\u6761\u4ef6\u6982\u7387\u3001\u72ec\u7acb\u6027\u3001\u6982\u7387\u5206\u5e03\u3001\u5168\u6982\u7387\u516c\u5f0f\u3001\u8d1d\u53f6\u65af\u6cd5\u5219\u3001\u671f\u671b\u503c\u3001\u65b9\u5dee\u3001\u534f\u65b9\u5dee\u3001\u56de\u5f52\u3001\u591a\u5143\u56de\u5f52\u7b49\u57fa\u7840\u77e5\u8bc6\uff0c\u5e76\u8fdb\u4e00\u6b65\u4ecb\u7ecd\u56fe\u6a21\u578b\u4e0e\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u3002\u6700\u540e\u5c06\u7b80\u8981\u6574\u7406\u672c\u5468\u9605\u8bfb\u4efb\u52a1\u7684\u77e5\u8bc6\u6846\u67b6\uff0c\u5e76\u534f\u52a9\u5927\u5bb6\u914d\u7f6e\u8bfb\u4e66\u4f1a\u7684\u7f16\u7a0b\u5b9e\u8df5\u73af\u5883\uff0c\u5b8c\u6210\u57fa\u7840\u7f16\u7a0b\u6d4b\u8bd5\u3002
\u3010\u5468\u8ba1\u5212\u3011
\u590d\u4e60\uff1a\u30101\/2\u3011\u7b2c1\u7ae0
\u9605\u8bfb\uff1a\u30101\/2\u3011\u7b2c2\u7ae0\u3001\u7b2c3\u7ae01-2\u8282
\u8054\u7cfb\uff1a\u30101\/2\u3011\u7b2c1\u7ae0\u5168\u90e8\u601d\u8003\u9898
\u5b9e\u8df5\uff1a\u5b9e\u9a8c\u73af\u5883\u7684\u642d\u5efa\u4e0e\u6d4b\u8bd5\uff0c\u5b66\u4e60\u57fa\u7840\u7f16\u7a0b\u8bed\u8a00\u77e5\u8bc6<\/p>\n

\u3010\u7b2c\u4e8c\u5468\u3011\u56fe\u6a21\u578b\u4e2d\u7684\u72ec\u7acb\u6027\u672c\u5468\u5c06\u5148\u8ba8\u8bba\u4e0a\u4e00\u5468\u7684\u601d\u8003\u9898\uff0c\u5e76\u89e3\u7b54\u6709\u5173\u5b9e\u9a8c\u73af\u5883\u642d\u5efa\u7684\u95ee\u9898\u3002\u4e4b\u540e\u5c06\u4f7f\u7528\u4f8b\u5b50\u5206\u6790\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u4e2d\u4e09\u79cd\u57fa\u7840\u7ed3\u6784\uff08\u94fe\u63a5\u5408\u3001\u53c9\u63a5\u5408\u3001\u5bf9\u649e\u63a5\u5408\uff09\u4e2d\u7684\u6761\u4ef6\u72ec\u7acb\u6027\uff0c\u8fdb\u800c\u63a8\u5bfc\u51fad-\u5206\u79bb\u5de5\u5177\u7684\u5b9a\u4e49\uff0c\u5e76\u4ecb\u7ecd\u5b83\u4eec\u5728\u6a21\u578b\u68c0\u9a8c\u4e0e\u56e0\u679c\u641c\u7d22\u4e0a\u7684\u4f5c\u7528\u3002\u672c\u671f\u4e5f\u4f1a\u8ba8\u8bba\u5e72\u9884\u7684\u57fa\u7840\u6982\u5ff5\u3001\u6821\u6b63\u516c\u5f0f\u3001\u56e0\u679c\u6548\u5e94\u89c4\u5219\u3001\u591a\u91cd\u5e72\u9884\u548c\u622a\u65ad\u4e58\u79ef\u89c4\u5219\uff0c\u5e2e\u52a9\u5927\u5bb6\u7406\u89e3\u672c\u5468\u7684\u9605\u8bfb\u5185\u5bb9\u3002\u6700\u540e\u5c06\u7b80\u8981\u6574\u7406\u672c\u5468\u9605\u8bfb\u4efb\u52a1\u7684\u77e5\u8bc6\u6846\u67b6\uff0c\u5e76\u4ecb\u7ecd\u7f16\u7a0b\u5b9e\u8df5\u5185\u5bb9\u3002
\u3010\u5468\u8ba1\u5212\u3011\u590d\u4e60\uff1a\u30101\/2\u3011\u7b2c2\u7ae0\u3001\u7b2c3\u7ae01-2\u8282\u9605\u8bfb\uff1a\u30101\/2\u3011\u7b2c3\u7ae03-8\u8282\u7ec3\u4e60\uff1a\u30101\/2\u3011\u7b2c2\u7ae0\u3001\u7b2c3\u7ae01-2\u8282\u5168\u90e8\u601d\u8003\u9898\u5b9e\u8df5\uff1a\u5b9e\u9a8c\u4e00\uff08TBA\uff0c\u8be6\u89c1\u540e\u7eed\u53d1\u5e03\u7684\u5b9e\u9a8c\u6587\u6863\uff09
\u3010\u7b2c\u4e09\u5468\u3011\u5e72\u9884\u7684\u6548\u679c\u672c\u5468\u5c06\u5148\u8ba8\u8bba\u4e0a\u4e00\u5468\u7684\u601d\u8003\u9898\uff0c\u5e76\u89e3\u7b54\u6709\u5173\u5b9e\u9a8c\u4e00\u7684\u95ee\u9898\u3002\u4e4b\u540e\u5c06\u5b66\u4e60\u540e\u95e8\u51c6\u5219\u548c\u524d\u95e8\u51c6\u5219\u7684\u76f8\u5173\u77e5\u8bc6\uff0c\u8ba8\u8bba\u6709\u5173\u6761\u4ef6\u5e72\u9884\u3001\u7279\u5b9a\u53d8\u91cf\u6548\u5e94\u3001\u4e2d\u4ecb\u53d8\u91cf\u7684\u77e5\u8bc6\u3002\u672c\u671f\u4e5f\u4f1a\u5b66\u4e60\u7ebf\u6027\u7cfb\u7edf\u4e2d\u7684\u56e0\u679c\u63a8\u65ad\uff0c\u5305\u62ec\u7ed3\u6784\u7cfb\u6570\u53ca\u5176\u56e0\u679c\u89e3\u91ca\u3001\u56de\u5f52\u7cfb\u6570\u53ca\u5176\u8bc6\u522b\u3001\u56e0\u679c\u6548\u5e94\u3001\u4e2d\u4ecb\u7b49\u3002\u6700\u540e\u5c06\u7b80\u8981\u6574\u7406\u672c\u5468\u9605\u8bfb\u4efb\u52a1\u7684\u77e5\u8bc6\u6846\u67b6\uff0c\u5e76\u4ecb\u7ecd\u7f16\u7a0b\u5b9e\u8df5\u5185\u5bb9\u3002
\u3010\u5468\u8ba1\u5212\u3011\u590d\u4e60\uff1a\u30101\/2\u3011\u7b2c3\u7ae03-8\u8282\u9605\u8bfb\uff1a\u30101\/2\u3011\u7b2c4\u7ae0\u7ec3\u4e60\uff1a\u30101\/2\u3011\u7b2c3\u7ae03-8\u8282\u5168\u90e8\u601d\u8003\u9898\u5b9e\u8df5\uff1a\u5b9e\u9a8c\u4e8c\uff08TBA\uff0c\u8be6\u89c1\u540e\u7eed\u53d1\u5e03\u7684\u5b9e\u9a8c\u6587\u6863\uff09
\u3010\u7b2c\u56db\u5468\u3011\u53cd\u4e8b\u5b9e\u53ca\u5176\u5e94\u7528\u672c\u5468\u5c06\u5148\u8ba8\u8bba\u4e0a\u4e00\u5468\u7684\u601d\u8003\u9898\uff0c\u5e76\u89e3\u7b54\u6709\u5173\u5b9e\u9a8c\u4e8c\u7684\u95ee\u9898\u3002\u4e4b\u540e\u5c06\u5b66\u4e60\u53cd\u4e8b\u5b9e\u76f8\u5173\u7684\u57fa\u7840\u6982\u5ff5\u3001\u5b9a\u4e49\u3001\u7ed3\u6784\u6027\u89e3\u91ca\u3001\u57fa\u672c\u5b9a\u7406\u3001\u8ba1\u7b97\u6b65\u9aa4\u3001\u56fe\u5f62\u5316\u8868\u793a\u3001\u6982\u7387\u8868\u793a\u7b49\uff0c\u5e76\u901a\u8fc7\u4f8b\u5b50\u5206\u6790\u8bd5\u9a8c\u73af\u5883\u4e2d\u7684\u53cd\u4e8b\u5b9e\u548c\u7ebf\u6027\u6a21\u578b\u4e2d\u7684\u53cd\u4e8b\u5b9e\uff0c\u4ee5\u53ca\u53cd\u4e8b\u5b9e\u7684\u5728\u73b0\u5b9e\u7814\u7a76\u4e2d\u7684\u5b9e\u9645\u5e94\u7528\u3002\u6700\u540e\u5c06\u7b80\u8981\u6574\u7406\u672c\u5468\u9605\u8bfb\u4efb\u52a1\u7684\u77e5\u8bc6\u6846\u67b6\uff0c\u5e76\u4ecb\u7ecd\u7f16\u7a0b\u5b9e\u8df5\u5185\u5bb9\u3002
\u3010\u5468\u8ba1\u5212\u3011\u590d\u4e60\uff1a\u30101\/2\u3011\u7b2c4\u7ae0\u9605\u8bfb\uff1a\u30103\u3011\u7b2c4\u7ae0\u3001\u7b2c7\u7ae0\u7ec3\u4e60\uff1a\u30101\/2\u3011\u7b2c4\u7ae0\u5168\u90e8\u601d\u8003\u9898\u5b9e\u8df5\uff1a\u5b9e\u9a8c\u4e09\uff08TBA\uff0c\u8be6\u89c1\u540e\u7eed\u53d1\u5e03\u7684\u5b9e\u9a8c\u6587\u6863\uff09
\u3010\u7b2c\u4e94\u5468\u3011\u56e0\u679c\u53d1\u73b0\u672c\u5468\u5c06\u5148\u8ba8\u8bba\u4e0a\u4e00\u5468\u7684\u601d\u8003\u9898\uff0c\u5e76\u89e3\u7b54\u6709\u5173\u5b9e\u9a8c\u4e09\u7684\u95ee\u9898\u3002\u4e4b\u524d\u7684\u8ba8\u8bba\u90fd\u662f\u57fa\u4e8e\u5df2\u6709\u56e0\u679c\u6a21\u578b\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u7684\uff0c\u800c\u672c\u671f\u8bfb\u4e66\u4f1a\u5c06\u8ba8\u8bba\u5982\u4f55\u57fa\u4e8e\u6570\u636e\u8fdb\u884c\u56e0\u679c\u6a21\u578b\u7684\u5efa\u6a21\uff0c\u5305\u62ec\u5bf9\u4e8e\u9ad8\u65af\u52a0\u6027\u566a\u58f0\u7684\u7ebf\u6027\u6a21\u578b\u3001\u975e\u7ebf\u6027\u52a0\u6027\u566a\u58f0\u6a21\u578b\u3001\u5177\u6709\u975e\u9ad8\u65af\u52a0\u6027\u566a\u58f0\u7684\u7ebf\u6027\u6a21\u578b\u3001\u975e\u7ebf\u6027\u52a0\u6027\u566a\u58f0\u6a21\u578b\u3001\u79bb\u6563\u52a0\u6027\u566a\u58f0\u6a21\u578b\u3001\u975e\u7ebf\u6027\u540e\u6a21\u578b\u7b49\u6a21\u578b\u4e0b\u6570\u636e\u7684\u5206\u6790\u5efa\u6a21\uff0c\u5e76\u4f1a\u5b66\u4e60\u4fe1\u606f\u51e0\u4f55\u56e0\u679c\u63a8\u7406\u3001\u8ddf\u8e2a\u65b9\u6cd5\u3001\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\u7b49\u591a\u79cd\u5206\u6790\u65b9\u6cd5\u3002\u6700\u540e\u5c06\u7b80\u8981\u6574\u7406\u672c\u5468\u9605\u8bfb\u4efb\u52a1\u7684\u77e5\u8bc6\u6846\u67b6\uff0c\u5e76\u4ecb\u7ecd\u7f16\u7a0b\u5b9e\u8df5\u5185\u5bb9\u3002
\u3010\u5468\u8ba1\u5212\u3011\u590d\u4e60\uff1a\u30103\u3011\u7b2c4\u7ae0\u3001\u7b2c7\u7ae0\u9605\u8bfb\uff1a\u30103\u3011\u7b2c5\u7ae0\u3001\u7b2c8\u7ae0\u7ec3\u4e60\uff1a\u30103\u3011\u7b2c4\u7ae0\u7b2c3\u8282\u3001\u7b2c7\u7ae0\u7b2c3\u8282\u4e2d\u5168\u90e8\u4e60\u9898\u5b9e\u8df5\uff1a\u5b9e\u9a8c\u56db\uff08TBA\uff0c\u8be6\u89c1\u540e\u7eed\u53d1\u5e03\u7684\u5b9e\u9a8c\u6587\u6863\uff09
\u3010\u7b2c\u516d\u5468\u3011\u56e0\u679c\u63a8\u7406\u4e0e\u673a\u5668\u5b66\u4e60\u672c\u5468\u5c06\u5148\u8ba8\u8bba\u4e0a\u4e00\u5468\u7684\u4e60\u9898\uff0c\u5e76\u89e3\u7b54\u6709\u5173\u5b9e\u9a8c\u56db\u7684\u95ee\u9898\u3002\u4e4b\u540e\u5c06\u8ba8\u8bba\u5982\u4f55\u5c06\u56e0\u679c\u63a8\u7406\u7ed3\u5408\u5230\u673a\u5668\u5b66\u4e60\u4e4b\u4e2d\uff0c\u5305\u62ec\u534a\u76d1\u7763\u5b66\u4e60\u3001\u534f\u53d8\u91cf\u504f\u79fb\u3001\u534a\u540c\u80de\u56de\u5f52\u3001\u60c5\u666f\u5f3a\u5316\u5b66\u4e60\u3001\u8fc1\u79fb\u5b66\u4e60\u7b49\u3002\u6700\u540e\u5c06\u7b80\u8981\u6574\u7406\u672c\u5468\u9605\u8bfb\u4efb\u52a1\u7684\u77e5\u8bc6\u6846\u67b6\u3002
\u3010\u5468\u8ba1\u5212\u3011\u590d\u4e60\uff1a\u30103\u3011\u7b2c5\u7ae0\u3001\u7b2c8\u7ae0\u9605\u8bfb\uff1a\u30103\u3011\u7b2c6\u7ae0\u7b2c9\u8282\u3001\u7b2c10\u7ae0\u7ec3\u4e60\uff1a\u30103\u3011\u7b2c5\u7ae0\u7b2c3\u8282\u3001\u7b2c8\u7ae0\u7b2c3\u8282\u4e2d\u5168\u90e8\u4e60\u9898
\u3010\u7b2c\u4e03\u5468\u3011\u5176\u4ed6\u56e0\u679c\u6846\u67b6\u521d\u63a2\u672c\u5468\u5c06\u5148\u8ba8\u8bba\u4e0a\u4e00\u5468\u7684\u4e60\u9898\uff0c\u5e76\u5bf9\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u7684\u76f8\u5173\u77e5\u8bc6\u8fdb\u884c\u7efc\u8ff0\u4e0e\u6574\u7406\u3002\u800c\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u4ec5\u4ec5\u53ea\u662f\u56e0\u679c\u79d1\u5b66\u4e2d\u591a\u79cd\u6a21\u578b\u7684\u4e00\u79cd\uff0c\u672c\u671f\u8fd8\u5c06\u7b80\u8981\u5b66\u4e60Rubin\u7684\u6f5c\u5728\u56e0\u679c\u6846\u67b6\u548cGranger\u7684\u56e0\u679c\u7406\u8bba\uff0c\u5206\u6790\u4ed6\u4eec\u5728\u5904\u7406\u67d0\u4e9b\u7c7b\u578b\u95ee\u9898\u7684\u4f18\u52bf\uff0c\u6bd4\u8f83\u4ed6\u4eec\u4e0ePearl\u7684\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u6846\u67b6\u7684\u5f02\u540c\u3002\u6700\u540e\u5c06\u5bf9\u672c\u6b21\u8bfb\u4e66\u4f1a\u8fdb\u884c\u603b\u7ed3\uff0c\u5e76\u8ba8\u8bba\u6700\u7ec8\u5b9e\u8df5\u4efb\u52a1\u7684\u5185\u5bb9\u3002
\u3010\u5468\u8ba1\u5212\u3011\u590d\u4e60\uff1a\u30103\u3011\u7b2c6\u7ae0\u7b2c9\u8282\u3001\u7b2c10\u7ae0\u5b9e\u8df5\uff1a\u7efc\u5408\u5efa\u6a21\u5206\u6790\uff08TBA\uff09<\/p>\n

\u76f8\u5173\u8d44\u6599\u63a8\u8350\uff1a
\u8fde\u63a5\u7edf\u8ba1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u81ea\u52a8\u63a8\u7406\u7684\u65b0\u5174\u4ea4\u53c9\u9886\u57df\u2014\u2014\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u518d\u8d77\u822a<\/a><\/a>\u5386\u65f63\u4e2a\u6708\uff0c\u5168\u740332\u4f4d\u8bb2\u8005\uff0c\u5171\u540c\u8bb2\u8ff0\u56e0\u679c\u79d1\u5b66\u4e0eCausal AI\u7684\u5168\u666f\u6846\u67b6\uff01<\/a>\u56e0\u679c\u9636\u68af\u4e0eDo-\u6f14\u7b97\uff1a\u600e\u6837\u5b8c\u7f8e\u5730\u8bc1\u660e\u5438\u70df\u81f4\u764c\uff1f<\/a>\u56e0\u679c\u53d1\u73b0\uff1a\u5982\u4f55\u8ba9\u7b97\u6cd5\u6210\u4e3a\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u201c\u798f\u5c14\u6469\u65af\u201d\uff1f<\/a>PC\u7b97\u6cd5\uff1a\u7f3a\u5931\u6570\u636e\u4e0b\u7684\u56e0\u679c\u53d1\u73b0<\/a>\u5982\u4f55\u5728\u89c2\u6d4b\u6570\u636e\u4e0b\u8fdb\u884c\u56e0\u679c\u6548\u5e94\u8bc4\u4f30<\/a>\u501f\u52a9\u56e0\u679c\u63a8\u65ad\uff0c\u66f4\u9c81\u68d2\u7684\u673a\u5668\u5b66\u4e60\u6765\u4e86\uff01<\/a>\u56e0\u679c\u79d1\u5b66\u600e\u6837\u6539\u53d8\u4eba\u5de5\u667a\u80fd\u548c\u73b0\u5b9e\u4e16\u754c\uff1f| BDSC2020\u56e0\u679c\u63a8\u65ad\u5206\u4f1a\u573a\u56de\u987e<\/a>\u56e0\u679c\u89c2\u5ff5\u65b0\u9769\u547d\uff1f\u4e07\u5b57\u957f\u6587\uff0c\u89e3\u8bfb\u590d\u6742\u7cfb\u7edf\u80cc\u540e\u7684\u6697\u56e0\u679c<\/a>\u56e0\u679c\u4e4b\u7bad\u6307\u5411\u4f55\u65b9\uff1f| \u56fe\u7075\u5956\u5f97\u4e3b\u73c0\u5c14\u7684\u300a\u4e3a\u4ec0\u4e48\u300b<\/a>\u4e3a\u4e86\u7814\u7a76\u56e0\u679c\u5173\u7cfb\uff0c\u539f\u6765\u79d1\u5b66\u5bb6\u5728\u8fd9\u4e48\u591a\u65b9\u5411\u4e0a\u90fd\u6709\u5c1d\u8bd5<\/a><\/p>\n

\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63\u8be6\u60c5\u8bf7\u70b9\u51fb\u4e0b\u65b9\u94fe\u63a5\u4e86\u89e3\uff1a
\u8fde\u63a5\u7edf\u8ba1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u81ea\u52a8\u63a8\u7406\u7684\u65b0\u5174\u4ea4\u53c9\u9886\u57df\u2014\u2014\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u518d\u8d77\u822a<\/a><\/p>\n

\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u5373\u53ef\u62a5\u540d\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63\uff01 <\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed \u867d\u8bf4\u4e66\u5c71\u6709\u8def\u52e4\u4e3a\u5f84\uff0c\u4f46\u60f3\u8981\u201c\u66f4\u5feb\u3001\u66f4\u597d\u3001\u66f4\u7701\u65f6\u201d\u5730\u5165\u95e8\u56e0\u679c\u79d1\u5b66\u9886\u57df\uff0c\u4f17\u591a\u4e66\u7c4d\u4e2d\u5982\u4f55\u627e\u5230\u9002\u5408\u81ea\u5df1\u7684\u90a3\u6761\u8def\uff1f\u6765\u770b\u4e3a\u56e0\u679c\u79d1\u5b66\u7684\u63a8\u52a8\u505a\u51fa\u4e86\u5f88\u591a\u8d21\u732e\u7684Brady Neal\u662f\u5982\u4f55\u8bf4\u7684\uff1f \u5f53\u4eba\u5de5\u667a\u80fd\u7684\u53ef\u89e3\u91ca\u6027\u548c\u9c81\u68d2\u6027\u7b49\u95ee\u9898\u66b4\u9732\u7684\u65f6\u5019\uff0c\u4eba\u4eec\u5f00\u59cb\u5bfb\u6c42\u66f4\u597d\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u679c\u79d1\u5b66\u6210\u4e3a\u4e86\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u65b0\u5ba0\u513f\uff0c\u5438\u5f15\u8d8a\u6765\u8d8a…<\/p>\n","protected":false},"author":1,"featured_media":24064,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/24075"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24075"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/24075\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/24064"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24075"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24075"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24075"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=24075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}