{"id":25498,"date":"2023-07-26T09:52:02","date_gmt":"2023-07-26T00:52:02","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/sgu\/?p=25498"},"modified":"2023-07-26T09:52:02","modified_gmt":"2023-07-26T00:52:02","slug":"%e5%8f%82%e5%8a%a0%e3%83%ac%e3%83%9d%e3%83%bc%e3%83%88%ef%bc%9aqtem2023%e5%b9%b4%e6%98%a5%e5%ad%a6%e6%9c%9f-%e3%83%86%e3%82%a3%e3%83%ab%e3%83%96%e3%83%ab%e3%83%95%e5%a4%a7%e5%ad%a6%ef%bc%88%e3%82%aa","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/sgu\/news-through-2023\/2023\/07\/26\/25498\/","title":{"rendered":"\u53c2\u52a0\u30ec\u30dd\u30fc\u30c8\uff1aQTEM2023\u5e74\u6625\u5b66\u671f \u30c6\u30a3\u30eb\u30d6\u30eb\u30d5\u5927\u5b66\uff08\u30aa\u30e9\u30f3\u30c0\uff09"},"content":{"rendered":"

SGU\u5b9f\u8a3c\u653f\u6cbb\u7d4c\u6e08\u5b66\u62e0\u70b9\u3067\u306f\u6d77\u5916\u7559\u5b66\u3092\u5fd7\u3059\u653f\u6cbb\u7d4c\u6e08\u5b66\u5206\u91ce\u306e\u5927\u5b66\u9662\u5b66\u751f\u306b\u5bfe\u3057\u3066\u6e21\u822a\u652f\u63f4\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u30022023<\/span>\u5e74\u306e\u6625\u5b66\u671f\u306b\u30aa\u30e9\u30f3\u30c0\u306e\u30c6\u30a3\u30eb\u30d6\u30eb\u30d5(Tilburg)\u5927\u5b66\u3067\u5b66\u3093\u3060<\/span>\u5b66\u751f\u3088\u308a\u7559\u5b66\u5831\u544a\u30ec\u30dd\u30fc\u30c8\u304c\u5c4a\u304d\u307e\u3057\u305f\u306e\u3067\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002\u3053\u306e\u5b66\u751f\u306f\u30012022\u5e74\u5ea6\u79cb\u5b66\u671f\u306b\u3082\u30aa\u30e9\u30f3\u30c0\u3078\u4ea4\u63db\u7559\u5b66\u751f\u3068\u3057\u3066\u6e21\u822a\u3057\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n

2022\u5e74\u5ea6\u79cb\u5b66\u671f\u30a2\u30e0\u30b9\u30c6\u30eb\u30c0\u30e0\u5927\u5b66\u3078\u306e\u4ea4\u63db\u7559\u5b66\u30ec\u30dd\u30fc\u30c8\u8a18\u4e8b\u306f\u3001\u3053\u3061\u3089<\/a>\u3067\u3059\u3002<\/p>\n

 <\/p>\n

\u7d4c\u6e08\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u8ab2\u7a0b\uff12\u5e74\u3000\u85e4\u5ca1\u3000\u5b5d\u8f14<\/strong><\/h2>\n

\u30c6\u30a3\u30eb\u30d6\u30eb\u30d5\u5927\u5b66\uff08Tilburg University\uff09<\/strong><\/p>\n

\u4fee\u58eb\u8ab2\u7a0b\u3067\u306f\u5b9f\u9a13\u7d4c\u6e08\u5b66\u3084<\/span>\u884c\u52d5\u30b2\u30fc\u30e0\u7406\u8ad6\u3092\u4e2d\u5fc3\u3068\u3057\u305f\u7814\u7a76\u306b\u52e4\u3057\u3093\u3067\u304a\u308a\u307e\u3059\u3002<\/span>2023<\/span>\u5e74\u306e\u6625\u5b66\u671f\u306b<\/span>QTEM<\/span>\u30d7\u30ed\u30b0\u30e9\u30e0\u306e<\/span>\u4e00\u74b0\u3068\u3057\u3066\u30aa\u30e9\u30f3\u30c0\u306e<\/span>Tilburg<\/span>\u5927\u5b66\u306b\u4ea4\u63db\u7559\u5b66\u3092\u3057\u3066\u304d\u307e\u3057\u305f\u306e\u3067\u3001\u5177\u4f53\u7684\u306a\u6d3b\u52d5\u5185\u5bb9\u3092\u5831\u544a\u3055\u305b<\/span>\u3066\u3044\u305f\u3060\u304d\u307e\u3059\u3002<\/span><\/p>\n

\"\"

\u30c6\u30a3\u30eb\u30d6\u30eb\u30d5\u5927\u5b66\u306e\u6821\u820e<\/p><\/div>\n

 <\/p>\n

QTEM<\/span>\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u5b9f\u8a3c\u5206\u6790\u306e\u5b66\u7fd2\u306b\u7279\u5316\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u3042\u308a\u3001\u4eca\u56de\u7559\u5b66\u3057\u305f<\/span>Tilburg<\/span>\u5927\u5b66\u3092<\/span>\u306f\u3058\u3081\u3001\u7d4c\u6e08\u5b66\u306b\u79c0\u3067\u305f\u6570\u3005\u306e\u5354\u5b9a\u6821\u306e\u6388\u696d\u306b\u53c2\u52a0\u3067\u304d\u308b\u3053\u3068\u304c\u9b45\u529b\u306e\u4e00\u3064\u3067\u3059\u3002\u79c1\u306f<\/span>2022<\/span>\u5e74<\/span>\u306e\u79cb\u5b66\u671f\u306b\u3082\u540c\u69d8\u306b\u30aa\u30e9\u30f3\u30c0\u306e\u30a2\u30e0\u30b9\u30c6\u30eb\u30c0\u30e0\u5927\u5b66<\/span>(UvA)<\/span>\u306b\u4ea4\u63db\u7559\u5b66\u3092\u3057\u3066\u304a\u308a\u3001\u65e9\u7a32\u7530\u306b\u306f\u623b<\/span>\u3089\u305a\u306b\u9023\u7d9a\u3057\u3066<\/span>Tilburg<\/span>\u5927\u5b66\u3067\u306e\u7559\u5b66\u306b\u81e8\u3080\u3068\u3044\u3046\u5c11\u3057\u30a4\u30ec\u30ae\u30e5\u30e9\u30fc\u306a\u9078\u629e\u3092\u3057\u3066\u3044\u307e\u3057\u305f\u3002\u4e21\u5927<\/span>\u5b66\u9662\u3067\u306e\u5b66\u671f\u304c\u82e5\u5e72\u91cd\u306a\u3063\u3066\u3044\u305f\u95a2\u4fc2\u3067\u7559\u5b66\u3057\u3066\u3059\u3050\u306f\u5b66\u696d\u9762\u306b\u304a\u3044\u3066\u3044\u3055\u3055\u304b\u5fd9\u3057\u304b\u3063\u305f\u3067<\/span>\u3059\u304c\u3001\u751f\u6d3b\u9762\u306b\u304a\u3044\u3066\u306f\u79cb\u5b66\u671f\u306e\u7d4c\u9a13\u3082\u3042\u308a\u3001\u305d\u308c\u307b\u3069\u306f\u82e6\u52b4\u305b\u305a\u306b\u6e08\u307f\u307e\u3057\u305f\u3002<\/span>
\u4ee5\u4e0b\u304c\u73fe\u5730\u3067\u5b9f\u969b\u306b\u53d7\u8b1b\u3057\u305f\u30b3\u30fc\u30b9\u3067\u3059\u3002<\/span><\/p>\n

\u53d7\u8b1b\u30b3\u30fc\u30b9<\/strong><\/h4>\n

\u30fb<\/span>Data Science Methods<\/span>
\u8a08\u91cf\u7d4c\u6e08\u5b66\u3001\u7d71\u8a08\u5b66\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u6a2a\u65ad\u9818\u57df\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u5206\u6790\u624b\u6cd5\u3092\u5b66\u3073\u307e\u3057\u305f\u3002\u6388\u696d\u306e\u6700\u5f8c\u306b\u6271\u3063\u305f<\/span>Double Machine Learning<\/span>\u3068\u547c\u3070\u308c\u308b\u63a8\u5b9a\u624b\u6cd5\u304c\u96e3\u89e3\u3067\u3057\u305f\u304c\u8208\u5473\u6df1\u304f\u611f\u3058\u307e\u3057\u305f\u3002<\/span><\/p>\n


\u30fb<\/span>Time Series and their Applications<\/span>
\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u8a08\u91cf\u5206\u6790\u624b\u6cd5\u306b\u3064\u3044\u3066\u5b66\u3073\u307e\u3057\u305f\u3002\u8b1b\u7fa9\u524d\u534a\u3067\u306f<\/span>ARMA<\/span>\u30e2\u30c7\u30eb\u3092\u4e2d\u5fc3\u7684\u306b\u6271\u3044\u3001\u8b1b\u7fa9<\/span>\u5f8c\u534a\u3067\u306f<\/span>VAR<\/span>\u3084\u30ab\u30eb\u30de\u30f3\u30d5\u30a3\u30eb\u30bf\u30fc\u306a\u3069\u306e\u767a\u5c55\u7684\u306a\u5206\u91ce\u3092\u6271\u3044\u307e\u3057\u305f\u3002\u6bce\u9031\u4e8c\u4eba\u4e00\u7d44\u3067\u306e\u30b0\u30eb\u30fc\u30d7\u8ab2\u984c\u304c\u8ab2\u3055\u308c\u3066\u304a\u308a\u3001\u3053\u306e\u6388\u696d\u306b\u9650\u3089\u305a\u3001Tilburg\u5927\u5b66\u3067\u306f\u5e38\u306b\u5468\u308a\u306e\u5b66\u751f\u3068\u5354\u529b\u3057\u306a\u304c\u3089\u5b66\u3076\u6a5f\u4f1a\u3092\u5927\u5b66\u5074\u304c\u7387\u5148\u3057\u3066\u63d0\u4f9b\u3057\u3066\u3044\u308b\u3088\u3046\u306b\u601d\u3044\u307e\u3059\u3002<\/span><\/p>\n


\u30fbDynamic Economic Models
\u7d4c\u6e08\u5206\u91ce\u306b\u304a\u3051\u308b\u52d5\u7684\u8a08\u753b\u6cd5(Dynammic Programming)\u3092\u6271\u3046\u6388\u696d\u3067\u3057\u305f\u3002\u53d7\u8b1b\u4eba\u6570\u304c5\u4eba\u3068\u5b66\u751f\u6570\u306e\u591a\u3044\u30aa\u30e9\u30f3\u30c0\u306e\u5927\u5b66\u9662\u306e\u6388\u696d\u3068\u3057\u3066\u306f\u6975\u7aef\u306b\u5c11\u306a\u304b\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u305d\u306e\u5206\u53d7\u8b1b\u751f\u3068\u306f\u5b66\u671f\u3092\u901a\u3058\u3066\u89aa\u7766\u3092\u6df1\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002\u8ab2\u984c\u3067\u306fMATLAB\u3092\u4f7f\u3044\u3001\u52d5\u7684\u8a08\u753b\u6cd5\u306e\u7406\u8ad6\u3060\u3051\u3067\u306a\u304f\u63a8\u5b9a\u624b\u6cd5\u3084\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3064\u3044\u3066\u3082\u5b66\u3073\u307e\u3057\u305f\u3002\u6388\u696d\u5185\u5bb9\u3092\u5b8c\u74a7\u306b\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u5230\u5e95\u3067\u304d\u306a\u304b\u3063\u305f\u3082\u306e\u306e\u3001\u5b66\u3076\u3053\u3068\u306e\u591a\u3044\u6388\u696d\u3067\u3057\u305f\u3002<\/span><\/p>\n


\u30fbSeminar Data Science for Economics
\u8fd1\u5e74\u306e\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5b9f\u8a3c\u5206\u6790\u624b\u6cd5\u3092\u5b9f\u8df5\u7684\u306b\u5b66\u3073\u307e\u3057\u305f\u3002\u4e00\u822c\u7684\u306a\u6a5f\u68b0\u5b66\u7fd2\u306b\u9650\u3089\u305a\u30c6\u30f3\u30bd\u30eb\u3084\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u624b\u6cd5\u7b49\u3082\u6271\u3063\u3066\u304a\u308a\u3001\u307e\u305f\u3001\u6388\u696d\u8cc7\u6599\u306fPython\u3067\u66f8\u304b\u308c\u3001\u8ab2\u984c\u306fGit Hub\u4e0a\u3067\u63d0\u51fa\u3001\u3068\u3044\u3063\u305f\u5177\u5408\u306b\u3068\u3066\u3082\u5148\u7aef\u7684\u306a\u6388\u696d\u30b9\u30bf\u30a4\u30eb\u3067\u3057\u305f\u3002\u3057\u304b\u3057\u3001\u305d\u306e\u4e00\u65b9\u3067\u4eca\u6642\u306e\u5206\u6790\u624b\u6cd5\u3068\u65e2\u5b58\u306e\u4f7f\u3044\u53e4\u3055\u308c\u305f\u8a08\u91cf\u5206\u6790\u624b\u6cd5\u3068\u306e\u5bfe\u6bd4\u306a\u3044\u3057\u306f\u4e21\u8005\u306e\u9593\u306b\u5b58\u5728\u3059\u308b\u30b9\u30c8\u30fc\u30ea\u30fc\u3082\u8b1b\u7fa9\u3067\u306f\u8a73\u3057\u304f\u8aac\u660e\u3055\u308c\u3066\u304a\u308a\u3001\u5b9f\u8a3c\u5206\u6790\u306e\u96e3\u3057\u3055\u3068\u5965\u6df1\u3055\u3092\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/span><\/p>\n

\"\"<\/p>\n

Data Science Methods<\/span>\u3067\u306f\u8ab2\u984c\u3068\u3057\u3066\u30d5\u30e9\u30f3\u30b9\u653f\u5e9c\u304c\u30ed\u30c3\u30af\u30c0\u30a6\u30f3\u3092\u5b9f\u884c\u3057\u305f\u969b\u306e\u5730\u57df\u3054<\/span>\u3068\u306e\u5916\u51fa\u72b6\u6cc1\u306e\u5206\u6790\u306b\u53d6\u308a\u7d44\u307f\u307e\u3057\u305f\u3002<\/span><\/p>\n

 <\/p>\n

\u30aa\u30e9\u30f3\u30c0\u306e\u5927\u5b66\u3067\u306f\u7d4c\u6e08\u5b66\u3068\u8a08\u91cf\u7d4c\u6e08\u5b66\u304c\u5c02\u653b\u3068\u3057\u3066\u660e\u78ba\u306b\u533a\u5225\u3055\u308c\u3066\u304a\u308a\u3001\u79c1\u306f\u4e3b\u306b\u5f8c\u8005\u306e<\/span>\u6388\u696d\u3092\u53d7\u8b1b\u3057\u3066\u3044\u305f\u306e\u3067\u3059\u304c\u3001\u5468\u308a\u306e\u5b66\u751f\u304c\u6570\u5b66\u306e\u9762\u3067\u79c0\u3067\u3066\u3044\u305f\u3053\u3068\u304b\u3089\u5b66\u671f\u4e2d\u306f\u5f7c\u3089\u306e\u30ec<\/span>\u30d9\u30eb\u306b\u3064\u3044\u3066\u3044\u304f\u306e\u306b\u5fc5\u6b7b\u3067\u3057\u305f\u3002\u3057\u304b\u3057\u3001\u5f7c\u3089\u304c\u3088\u308a\u512a\u308c\u3066\u3044\u305f\u306e\u306f\u3001\u5b66\u3073\u306b\u5bfe\u3059\u308b\u80fd\u52d5\u6027\u3084\u5b89<\/span>\u606f\u306e\u6642\u9593\u3092\u304a\u3056\u306a\u308a\u306b\u3057\u306a\u3044\u8996\u91ce\u306e\u5e83\u3044\u81ea\u5df1\u7ba1\u7406\u80fd\u529b\u3060\u3068\u601d\u3044\u307e\u3059\u3002\u3044\u305a\u308c\u306e\u5b66\u751f\u3082\u7a4d\u6975\u6027\u304c<\/span>\u9ad8\u304f\u3001\u6388\u696d\u306e\u4e2d\u3067\u751f\u3058\u305f\u7591\u554f\u306f\u5373\u5ea7\u306b\u8cea\u554f\u3057\u3001\u305d\u306e\u6388\u696d\u5185\u3067\u6d88\u5316\u3057\u3066\u3084\u308b\u3068\u3044\u3046\u6c17\u6982\u3092\u611f\u3058\u307e\u3057<\/span>\u305f\u3002\u4ed6\u65b9\u3067\u3001\u7814\u7a76\u3084\u5b66\u696d\u4ee5\u5916\u3067\u306e\u8eab\u8fd1\u306a\u4eba\u3068\u904e\u3054\u3059\u6642\u9593\u3084\u843d\u3061\u7740\u3044\u3066\u3086\u3063\u304f\u308a\u3068\u5185\u7701\u3059\u308b\u3088\u3046\u306a<\/span>\u6642\u9593\u3082\u540c\u3058\u3088\u3046\u306b\u5927\u5207\u306b\u3057\u3066\u304a\u308a\u3001\u3068\u3066\u3082\u81ea\u5f8b\u3067\u304d\u3066\u3044\u308b\u3088\u3046\u306b\u611f\u3058\u307e\u3057\u305f\u3002<\/span><\/p>\n

 <\/p>\n

\"\"

\u6625\u306e\u82b1\u7551<\/p><\/div>\n

\u6625\u5148\u306e\u30aa\u30e9\u30f3\u30c0\u306f\u3068\u3066\u3082\u5fc3\u5730\u3088\u304f\u3001\u6388\u696d\u304c\u5fd9\u3057\u3044\u4e2d\u3067\u3082\u30ea\u30e9\u30c3\u30af\u30b9\u3067\u304d\u308b\u74b0\u5883\u3067\u3057\u305f\u3002\u5c11\u3057\u6642<\/span>\u9593\u304c\u7a7a\u3044\u305f\u969b\u306b\u306f\u30aa\u30e9\u30f3\u30c0\u56fd\u5185\u3092\u5de1\u308a\u3001\u5145\u5b9f\u3057\u305f\u6642\u9593\u3092\u904e\u3054\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/span><\/p>\n

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