{"id":4047,"date":"2024-11-20T22:00:22","date_gmt":"2024-11-20T14:00:22","guid":{"rendered":"https:\/\/changjinyuan.com\/?p=4047"},"modified":"2024-12-31T18:10:13","modified_gmt":"2024-12-31T10:10:13","slug":"chang-j-kolaczyk-e-d-yao-q-2020-discussion-of-network-cross-validation-by-edge-sampling-biometrika-107-277-280","status":"publish","type":"post","link":"https:\/\/changjinyuan.com\/index.php\/en\/publications-en\/publications-all-en\/4047\/","title":{"rendered":"Chang, J., Kolaczyk, E. D. &#038; Yao, Q. (2020). Discussion of &#8216;Network cross-validation by edge sampling&#8217;. Biometrika, 107, 277-280."},"content":{"rendered":"<p><span class=\"fontstyle0\">We thank the authorsfor their new contribution to networkmodelling.Datareuse, encompassingmethods such as bootstrapping and cross-validation, is an area that to date has largely resisted obvious and rapid development in the network context. One of the major reasons is that mimicking the original sampling mechanisms is challenging if not impossible. To avoid deleting edges and destroying some of the network structure, the resampling strategy proposed in <\/span><span class=\"fontstyle0\">Li et al. <\/span><span class=\"fontstyle0\">(<\/span><span class=\"fontstyle0\">2020<\/span><span class=\"fontstyle0\">) based on splitting node pairs rather than nodes is therefore insightful and effective. Matrix completion is the key technique involved, with its use here providing a new perspective for network analysis.<\/span><\/p>\r\n\r\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" style=\"width: 100%; height: 600px;\" data=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/11\/Network-cross-validation-by-edge-sampling.pdf\" type=\"application\/pdf\" width=\"300\" height=\"150\" aria-label=\"\u5d4c\u5165 Network cross-validation by edge sampling\"><\/object><a id=\"wp-block-file--media-c0b57c86-9387-4d00-83a0-ffc09bfc70c8\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/11\/Network-cross-validation-by-edge-sampling.pdf\">Network cross-validation by edge sampling<\/a><a class=\"wp-block-file__button wp-element-button\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/11\/Network-cross-validation-by-edge-sampling.pdf\" download=\"\" aria-describedby=\"wp-block-file--media-c0b57c86-9387-4d00-83a0-ffc09bfc70c8\">Download<\/a><\/div>\r\n","protected":false},"excerpt":{"rendered":"<p>We thank the authorsfor their new contribution to networkmodelling.Datareuse, encompassingmethods such as bootstrapping and cross-validation, is an area that to date has largely resisted obvious and rapid development in the network context. One of the major reasons is that mimicking the original sampling mechanisms is challenging if not impossible. To avoid deleting edges and destroying some of the network structure, the resampling strategy proposed in Li et al. (2020) based on splitting node pairs rather than nodes is therefore insightful and effective. Matrix completion is the key technique involved, with its use here providing a new perspective for network analysis.<\/p>\n","protected":false},"author":1,"featured_media":4069,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-4047","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications-all-en"],"acf":[],"lang":"en","translations":{"en":4047,"cn":4045},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts\/4047","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/comments?post=4047"}],"version-history":[{"count":5,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts\/4047\/revisions"}],"predecessor-version":[{"id":4057,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts\/4047\/revisions\/4057"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/media\/4069"}],"wp:attachment":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/media?parent=4047"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/categories?post=4047"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/tags?post=4047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}