{"id":896,"date":"2024-12-31T07:03:40","date_gmt":"2024-12-31T07:03:40","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2024\/12\/31\/why-probability-distributions-matter-lessons-from-covid-19-9306b535a5c8\/"},"modified":"2024-12-31T07:03:40","modified_gmt":"2024-12-31T07:03:40","slug":"why-probability-distributions-matter-lessons-from-covid-19-9306b535a5c8","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2024\/12\/31\/why-probability-distributions-matter-lessons-from-covid-19-9306b535a5c8\/","title":{"rendered":"Lessons from COVID-19: Why Probability Distributions Matter"},"content":{"rendered":"<p>    Lessons from COVID-19: Why Probability Distributions Matter<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<div class=\"medium-feed-item\">\n<p class=\"medium-feed-image\"><a href=\"https:\/\/towardsdatascience.com\/why-probability-distributions-matter-lessons-from-covid-19-9306b535a5c8\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/cdn-images-1.medium.com\/max\/2600\/1%2Apv7HBAQy367XMmHzfB1HeQ.jpeg?w=5472&#038;ssl=1\" ><\/a><\/p>\n<p class=\"medium-feed-snippet\">Understanding Distributions with Extremes: Probability for Data Science Series (END)<\/p>\n<p class=\"medium-feed-link\"><a href=\"https:\/\/towardsdatascience.com\/why-probability-distributions-matter-lessons-from-covid-19-9306b535a5c8\">Continue reading on Towards Data Science \u00bb<\/a><\/p>\n<\/div>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Sunghyun Ahn<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/medium.com\/m\/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fwhy-probability-distributions-matter-lessons-from-covid-19-9306b535a5c8\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lessons from COVID-19: Why Probability Distributions Matter Understanding Distributions with Extremes: Probability for Data Science Series (END) Continue reading on Towards Data Science \u00bb Sunghyun Ahn Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,1041,83,311,567,238],"tags":[335,1042,921],"class_list":["post-896","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-covid19","category-data-science","category-getting-started","category-probability","category-statistics","tag-distributions","tag-lessons","tag-probability"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/896"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=896"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/896\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=896"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=896"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=896"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}