{"id":1827,"date":"2018-01-10T22:07:20","date_gmt":"2018-01-10T22:07:20","guid":{"rendered":"http:\/\/causality.cs.ucla.edu\/blog\/?p=1827"},"modified":"2018-03-09T22:30:06","modified_gmt":"2018-03-09T22:30:06","slug":"2018-winter-update","status":"publish","type":"post","link":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/2018\/01\/10\/2018-winter-update\/","title":{"rendered":"2018 Winter Update"},"content":{"rendered":"<p>Dear friends in causality research,<\/p>\n<p>Welcome to the 2018 Winter Greeting from the UCLA Causality Blog. This greeting discusses the following topics:<\/p>\n<p>1. \u00a0A report is posted, on the &#8220;What If&#8221; workshop\u00a0at the NIPS conference\u00a0 (see\u00a0<span id=\"OBJ_PREFIX_DWT296_com_zimbra_date\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT297_com_zimbra_date\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT309_com_zimbra_date\" class=\"Object\" role=\"link\">December 19<\/span><\/span><\/span>, 2017 post below).\u00a0It discusses my presentation of: Theoretical Impediments\u00a0to Machine Learning, a newly revised version of which can be\u00a0viewed here. [<span id=\"OBJ_PREFIX_DWT298_com_zimbra_url\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT299_com_zimbra_url\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT310_com_zimbra_url\" class=\"Object\" role=\"link\"><a href=\"http:\/\/ftp.cs.ucla.edu\/pub\/stat_ser\/r475.pdf\" target=\"_blank\" rel=\"noopener\">http:\/\/ftp.cs.ucla.edu\/pub\/stat_ser\/r475.pdf<\/a><\/span><\/span><\/span>]<\/p>\n<p>2. New posting: <a href=\"http:\/\/causality.cs.ucla.edu\/blog\/index.php\/2018\/01\/10\/facts-and-fiction-in-the-missing-data-framework\/\">&#8220;Facts and Fiction from the Missing Data Framework&#8221;<\/a>. We are inviting discussion of two familiar mantras:<br \/>\n<em>Mantra-1.<\/em><strong>\u00a0<\/strong>&#8220;The role of missing data analysis in causal inference is\u00a0well understood (eg causal inference theory based on counterfactuals relies on the missing data framework).<br \/>\nand<br \/>\n<em>Mantra-2.<\/em> &#8220;while missing data methods can form tools for causal inference, the converse cannot be true.&#8221;<\/p>\n<p>We explain why we believe both mantras to be false, but we would like to hear you opinion before firming up our minds.<\/p>\n<p>3. A review paper is available here:<br \/>\n<a href=\"http:\/\/ftp.cs.ucla.edu\/pub\/stat_ser\/r473-L.pdf\">http:\/\/ftp.cs.ucla.edu\/pub\/stat_ser\/r473-L.pdf<\/a><br \/>\nTitled: &#8220;Graphical Models for Processing Missing Data.&#8221; It explains and demonstrates why missing data is a causal inference problem.<\/p>\n<p>4. A new page is now up, providing information on &#8220;The Book of Why&#8221;<br \/>\n<span id=\"OBJ_PREFIX_DWT302_com_zimbra_url\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT312_com_zimbra_url\" class=\"Object\" role=\"link\"><a href=\"http:\/\/bayes.cs.ucla.edu\/WHY\/\" target=\"_blank\" rel=\"noopener\">http:\/\/bayes.cs.ucla.edu\/WHY\/<\/a><\/span><\/span><br \/>\nIt contains Table of Contents and excerpts from the book.<\/p>\n<p>5. Nominations are now open for the ASA Causality in Education Award. The nomination deadline is\u00a0<span id=\"OBJ_PREFIX_DWT303_com_zimbra_date\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT304_com_zimbra_date\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT313_com_zimbra_date\" class=\"Object\" role=\"link\">March 1<\/span><\/span><\/span>, 2018. For more information, please see<br \/>\n<span id=\"OBJ_PREFIX_DWT305_com_zimbra_url\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT314_com_zimbra_url\" class=\"Object\" role=\"link\"><a href=\"http:\/\/www.amstat.org\/education\/causalityprize\/\" target=\"_blank\" rel=\"noopener\">http:\/\/www.amstat.org\/education\/causalityprize\/<\/a><\/span><\/span>.<\/p>\n<p>6. For those of us who were waiting patiently for the Korean translation of Primer &#8212; our long wait is finally over. The book is available now in colorful cover and in optimistic North Korean accent.<br \/>\n<span id=\"OBJ_PREFIX_DWT306_com_zimbra_url\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT315_com_zimbra_url\" class=\"Object\" role=\"link\"><a href=\"http:\/\/www.kyowoo.co.kr\/02_sub\/view.php?p_idx=1640&amp;cate=0014_0017_\" target=\"_blank\" rel=\"noopener\">http:\/\/www.kyowoo.co.kr\/02_sub\/view.php?p_idx=1640&amp;cate=0014_0017_<\/a><\/span><\/span><\/p>\n<p>Don&#8217;t miss the gentlest introduction to causal inference.<br \/>\n<span id=\"OBJ_PREFIX_DWT307_com_zimbra_url\" class=\"Object\" role=\"link\"><span id=\"OBJ_PREFIX_DWT316_com_zimbra_url\" class=\"Object\" role=\"link\"><a href=\"http:\/\/bayes.cs.ucla.edu\/PRIMER\/\" target=\"_blank\" rel=\"noopener\">http:\/\/bayes.cs.ucla.edu\/PRIMER\/<\/a><\/span><\/span><\/p>\n<p>Enjoy, and have a productive 2018.<br \/>\nJP<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dear friends in causality research, Welcome to the 2018 Winter Greeting from the UCLA Causality Blog. This greeting discusses the following topics: 1. \u00a0A report is posted, on the &#8220;What If&#8221; workshop\u00a0at the NIPS conference\u00a0 (see\u00a0December 19, 2017 post below).\u00a0It discusses my presentation of: Theoretical Impediments\u00a0to Machine Learning, a newly revised version of which can [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,16],"tags":[],"class_list":["post-1827","post","type-post","status-publish","format-standard","hentry","category-announcement","category-general"],"_links":{"self":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/1827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/comments?post=1827"}],"version-history":[{"count":5,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/1827\/revisions"}],"predecessor-version":[{"id":1843,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/1827\/revisions\/1843"}],"wp:attachment":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/media?parent=1827"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/categories?post=1827"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/tags?post=1827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}