{"id":6247,"date":"2020-07-23T11:20:40","date_gmt":"2020-07-23T02:20:40","guid":{"rendered":"https:\/\/www.waseda.jp\/fpse\/winpec\/?p=6247"},"modified":"2020-07-23T11:20:40","modified_gmt":"2020-07-23T02:20:40","slug":"%e3%80%907%e6%9c%8810%e3%83%bb11%e6%97%a5%e9%96%8b%e5%82%ac%e3%80%91eu%e3%83%95%e3%83%ac%e3%83%b3%e3%83%89%e3%82%b7%e3%83%83%e3%83%97%e3%82%a6%e3%82%a3%e3%83%bc%e3%82%af%e3%83%bb%e3%83%af%e3%83%bc-2-4","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/fpse\/winpec\/news\/2020\/07\/23\/6247\/","title":{"rendered":"\u3010\u958b\u50ac\u5831\u544a\u3011Constructing correlation networks from multivariate time series data: an application to product-level international trade network analysis"},"content":{"rendered":"<p>\u56e0\u679c\u63a8\u8ad6\u3068\u30c7\u30fc\u30bf\u79d1\u5b66\u90e8\u4f1a\u958b\u50ac\u5831\u544a\uff08\u73fe\u653f\u7814\u30bb\u30df\u30ca\u30fc\u5171\u50ac\uff09<\/p>\n<h2>\u300eConstructing correlation networks from multivariate time series data: an application to product-level international trade network analysis\u300f<\/h2>\n<p>&nbsp;<\/p>\n<h3>\u8b1b\u6f14\u8005\uff1a\u5897\u7530\u76f4\u7d00\uff08State University of New York, Buffalo, Associate Professor)<\/h3>\n<h3><\/h3>\n<p>\u30b3\u30fc\u30c7\u30a3\u30cd\u30fc\u30bf\u30fc\uff1aYuriko Takahashi , Yunkyu Sohn<\/p>\n<h4>\u958b\u50ac\u6982\u8981<\/h4>\n<p>\u958b\u50ac\u65e5\u6642\uff1a\u30002020\u5e747\u670821\u65e5\uff08\u706b\uff0910:40-12:10<\/p>\n<p>\u4f1a\u3000\u3000\u3000\u5834\uff1a\u3000Zoom webinar<\/p>\n<p>\u6982\u3000\u3000\u3000\u8981\uff1a<\/p>\n<p>Prof. Masuda provided an overview for a series of bipartite network projection methods with sparsity constraints that are based on frontier concepts in contemporary statistics. A broad set of participants with diverse backgrounds in social science enjoyed the talk and learned how they can apply the proposed methods to various data sets in their domain in case when they lack direct observation of relationships.<\/p>\n<h5><\/h5>\n","protected":false},"excerpt":{"rendered":"<p>\u56e0\u679c\u63a8\u8ad6\u3068\u30c7\u30fc\u30bf\u79d1\u5b66\u90e8\u4f1a\u958b\u50ac\u5831\u544a\uff08\u73fe\u653f\u7814\u30bb\u30df\u30ca\u30fc\u5171\u50ac\uff09 \u300eConstructing correlation networks from multivariate time series data: an applicat [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":5993,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[103,1],"tags":[99,18],"class_list":["post-6247","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","category-news","tag-events-en","tag-events"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts\/6247","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/comments?post=6247"}],"version-history":[{"count":0,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts\/6247\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/media\/5993"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/media?parent=6247"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/categories?post=6247"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/tags?post=6247"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}