{"id":27570,"date":"2021-07-10T22:11:15","date_gmt":"2021-07-10T14:11:15","guid":{"rendered":"https:\/\/swarma.org\/?p=27570"},"modified":"2021-07-10T22:11:15","modified_gmt":"2021-07-10T14:11:15","slug":"%e5%91%a8%e6%97%a5%e7%9b%b4%e6%92%ad%ef%bc%9a%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97%e4%b8%ad%e7%9a%84%e5%9b%a0%e6%9e%9c%e5%85%b3%e7%b3%bb-%e5%9b%a0%e6%9e%9c%e7%a7%91%e5%ad%a6%e8%af%bb%e4%b9%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=27570","title":{"rendered":"\u5468\u65e5\u76f4\u64ad\uff1a\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u56e0\u679c\u5173\u7cfb | \u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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\u7ecf\u5178\u6559\u6750Elements of Causal Inference\u7684\u7b2c\u5341\u7ae0\uff0c\u63a2\u8ba8\u4e86\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u56e0\u679c\u95ee\u9898\uff1a\u9664\u4e86\u6307\u51fa\u65f6\u95f4\u4e3a\u56e0\u679c\u65b9\u5411\u7684\u786e\u5b9a\u63d0\u4f9b\u7684\u91cd\u8981\u7684\u4fe1\u606f\uff0c\u4ece\u800c\u6709\u52a9\u4e8e\u56e0\u679c\u5b66\u4e60\u5916\uff1b\u8fd8\u9610\u660e\u4e86\u5728\u65f6\u95f4\u5e8f\u5217\u4e2d\u8fdb\u884c\u56e0\u679c\u5206\u6790\u4f1a\u9047\u5230\u7684\u72ec\u6709\u6311\u6218\u3002\u7b2c\u5341\u7ae0\u63d0\u4f9b\u4e86\u65f6\u95f4\u5e8f\u5217\u4e2d\u57fa\u4e8e\u56fe\u548cSCM\u7684\u56e0\u679c\u6a21\u578b\u5b9a\u4e49\uff0c\u5e76\u8ba8\u8bba\u4e86\u56e0\u679c\u6a21\u578b\u7684\u8fa8\u8bc6\u6761\u4ef6\uff0c\u8fd8\u7ed9\u51fa\u4e86\u5b66\u4e60\u56e0\u679c\u6a21\u578b\u76843\u4e2a\u5177\u4f53\u65b9\u6cd5\uff1b\u6700\u540e\u7b80\u5355\u63d0\u53ca\u57fa\u4e8e\u5fae\u5206\u65b9\u7a0b\u7684Dynamic Causal Modeling\u3002<\/span><\/strong><\/p>\n


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\u7ecf\u5178\u6559\u6750Elements of Causal Inference\u7684\u7b2c\u5341\u7ae0\uff0c\u63a2\u8ba8\u4e86\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u56e0\u679c\u95ee\u9898\uff1a\u9664\u4e86\u6307\u51fa\u65f6\u95f4\u4e3a\u56e0\u679c\u65b9\u5411\u7684\u786e\u5b9a\u63d0\u4f9b\u7684\u91cd\u8981\u7684\u4fe1\u606f\uff0c\u4ece\u800c\u6709\u52a9\u4e8e\u56e0\u679c\u5b66\u4e60\u5916\uff1b\u8fd8\u9610\u660e\u4e86\u5728\u65f6\u95f4\u5e8f\u5217\u4e2d\u8fdb\u884c\u56e0\u679c\u5206\u6790\u4f1a\u9047\u5230\u7684\u72ec\u6709\u6311\u6218\u3002\u7b2c\u5341\u7ae0\u63d0\u4f9b\u4e86\u65f6\u95f4\u5e8f\u5217\u4e2d\u57fa\u4e8e\u56fe\u548cSCM\u7684\u56e0\u679c\u6a21\u578b\u5b9a\u4e49\uff0c\u5e76\u8ba8\u8bba\u4e86\u56e0\u679c\u6a21\u578b\u7684\u8fa8\u8bc6\u6761\u4ef6\uff0c\u8fd8\u7ed9\u51fa\u4e86\u5b66\u4e60\u56e0\u679c\u6a21\u578b\u76843\u4e2a\u5177\u4f53\u65b9\u6cd5\uff1b\u6700\u540e\u7b80\u5355\u63d0\u53ca\u57fa\u4e8e\u5fae\u5206\u65b9\u7a0b\u7684Dynamic Causal Modeling\u3002<\/span><\/p>\n


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\u9664\u4e86\u4e0a\u8ff0\u5185\u5bb9\uff0c\u672c\u6b21\u5206\u4eab\u8fd8\u5c06\u4ecb\u7ecd\u7531\u56e0\u679c\u9886\u57df\u8bf8\u591a\u5b66\u8005\u53d1\u8868\u7684\u524d\u6cbf\u7efc\u8ff0\u201cInferring causation from time series in Earth system sciences\u201d\u3002\u672c\u6587\u8be6\u7ec6\u9610\u8ff0\u4e86\u5982\u4f55\u5c06\u73b0\u6709\u7684\u56e0\u679c\u53d1\u73b0\u65b9\u6cd5\u5e94\u7528\u4e8e\u5730\u7403\u7cfb\u7edf\u79d1\u5b66\u4e2d\uff0c\u5e76\u4e14\u6bd4\u8f83\u4e86\u591a\u79cd\u65b9\u6cd5\u7684\u4f18\u52a3\uff0c\u5305\u62ec\u975e\u7ebf\u6027\u76f8\u7a7a\u95f4\u65b9\u6cd5<\/span> (\u6536\u655b\u4ea4\u53c9\u6620\u5c04\uff09<\/span>\u3001\u57fa\u4e8e\u6761\u4ef6\u72ec\u7acb\u68c0\u9a8c\u7684\u65b9\u6cd5\u3001\u683c\u5170\u6770\u56e0\u679c\u3001\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u7b49\u3002\u5e76\u4e14\u4ece\u8981\u5904\u7406\u7684\u8fc7\u7a0b\u3001\u6570\u636e\u53ca\u8ba1\u7b97\u4e09\u5927\u65b9\u9762\u603b\u7ed3\u51fa\u5728\u5b9e\u9645\u79d1\u7814\u4e2d\u4f7f\u7528\u56e0\u679c\u63a8\u65ad\u5c06\u8981\u9762\u4e34\u7684\u8bf8\u591a\u6311\u6218\uff0c\u5bf9\u4e8e\u5b9e\u9645\u64cd\u4f5c\u6709\u8bf8\u591a\u6307\u5bfc\u610f\u4e49\u3002<\/span><\/p>\n


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\u8521\u5fc3\u5b87<\/strong>\uff0c\u672c\u79d1\u6bd5\u4e1a\u4e8e\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\uff0c\u73b0\u4e3a\u5357\u6d0b\u7406\u5de5\u5927\u5b66\u8ba1\u7b97\u673a\u4e13\u4e1a\u535a\u58eb\u751f\uff0c\u7814\u7a76\u5174\u8da3\u5305\u62ecCausal Reinforcement Learning\u3001Model-based Reinforcement Learning\u3001Physical Modeling\u7b49\u3002<\/span><\/p>\n


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\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h2>\n

[1] Peters, Jonas, Dominik Janzing, and Bernhard Sch\u00f6lkopf. Elements of causal inference: foundations and learning algorithms. The MIT Press, 2017.<\/span><\/p>\n

[2] Stephan Bongers, Jonas Peters, Bernhard Sch\u00a8olkopf, Joris M. Mooij. Structural Causal Models: Cycles, Marginalizations, Exogenous Reparametrizations and Reductions. 2018.<\/span><\/p>\n

[3] Jakob Runge, et al. Inferring causation from time series in Earth system sciences. NATURE COMMUNICATIONS, 2019.<\/span><\/p>\n

[4] Naji Shajarisales, et al. Telling Cause from Effect in Deterministic Linear Dynamical Systems. ICML 2015.<\/span><\/p>\n

[5] Causal Inference on Time Series using Restricted Structural Equation Models. NIPS 2013.<\/span><\/p>\n

[6] Detecting Causality in Complex Ecosystems. Science 2012.<\/span><\/span><\/p>\n


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