{"id":7565,"date":"2016-04-27T14:00:31","date_gmt":"2016-04-27T18:00:31","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7565"},"modified":"2016-04-26T12:09:28","modified_gmt":"2016-04-26T16:09:28","slug":"sorry-arima-but-im-going-bayesian","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/sorry-arima-but-im-going-bayesian\/7565\/","title":{"rendered":"Sorry ARIMA, but I\u2019m Going Bayesian"},"content":{"rendered":"When people think of \u201cdata science\u201d they probably think of algorithms that scan large datasets to predict a customer\u2019s next move or interpret unstructured text. But what about models that utilize small, time-stamped datasets to forecast dry metrics such as demand and sales? Yes, I\u2019m talking about good old time series analysis, an ancient discipline that hasn\u2019t received the cool \u201cdata science\u201d rebranding enjoyed by many other areas of analytics. Yet, analysis of time series data presents some of the most difficult analytical challenges: you typically have the least amount of data to work with, while needing to <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/sorry-arima-but-im-going-bayesian\/7565\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>When people think of \u201cdata science\u201d they probably think of algorithms that scan large datasets to predict a customer\u2019s next move or interpret unstructured text. But what about models that utilize small, time-stamped datasets to forecast dry metrics such as demand and sales? Yes, I\u2019m talking about good old time series analysis, an ancient discipline [&hellip;]<\/p>\n","protected":false},"author":625,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[675,676],"class_list":["post-7565","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-arima","tag-bayesian"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/625"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7565"}],"version-history":[{"count":5,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7565\/revisions"}],"predecessor-version":[{"id":7571,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7565\/revisions\/7571"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}