{"55502":{"#nid":"55502","#data":{"type":"news","title":"Duke, LRMC are big winners in NCAA tournament","body":[{"value":"\u003Cp\u003EWhile Duke was crowned the victor in the NCAA men\u0027s\nbasketball national championship this month,\u0026nbsp;another big winner emerged:\nthe Georgia Tech LRMC method for predicting NCAA\u0026nbsp;tournament outcomes. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\n\n\u003Cp\u003EThe new Bayesian LRMC method \u2013 an updated version of the previous\nsystem \u2013 correctly predicted the\u0026nbsp;winner of more games during this year\u0027s\ntournament than all other ranking systems tracked on BCS computer ranker\nKen\u0026nbsp;Massey\u0027s website, masseyratings.com, which analyzes predictions for\nvarious sporting events.\u003C\/p\u003E\u003Cp\u003E\u003Cbr \/\u003E\nBayesian LRMC finished three full\u0026nbsp;games ahead of the field, which included\nwell-known rankings such as the\u0026nbsp;Associated Press and\nUSA\u0026nbsp;Today\u0026nbsp;polls, the NCAA\u0027s Ratings Percentage Index, Pomeroy,\nSagarin and Massey\u0027s own computer ranking methods. \u0026nbsp;Bayesian\u0026nbsp;LRMC was\nthe only ranking to correctly predict the winner of more than 50\u0026nbsp;games.\u003Cbr \/\u003E\n\u003Cbr \/\u003E\nIn addition to Bayesian LRMC\u0027s first place finish, the original LRMC\u0026nbsp;method\nfinished in a three-way tie for second place with 48 correct\u0026nbsp;predictions.\n\u0026nbsp;A correct prediction was defined as the winner of a\u0026nbsp;game being ranked\nhigher than the game\u0027s loser.\u003Cbr \/\u003E\n\u003Cbr \/\u003E\nThis is the second recent success for the system. In 2008, the LRMC correctly\npredicted the winner of every game in the final three rounds of the\u0026nbsp;NCAA\ntournament before the tournament started.\u003Cbr \/\u003E\n\u003Cbr \/\u003E\nThe LRMC method was first developed by Professors Paul Kvam and Joel Sokol at\nGeorgia Tech\u0027s H. Milton Stewart School of\u0026nbsp;Industrial and Systems\nEngineering (ISyE). \u0026nbsp;The LRMC team has since\u0026nbsp;expanded to include ISyE\nprofessor George Nemhauser and City College of\u0026nbsp;New York mathematics\nprofessor Mark Brown.\u003Cbr \/\u003E\n\u003Cbr \/\u003E\nA mathematical description of Bayesian LRMC\u0026nbsp;is forthcoming in the Journal\nof Quantitative Analysis in Sports.\u003Cbr \/\u003E\n\u003Cbr \/\u003E\n\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Georgia Tech LRMC method correctly predicted the winner of more games during this year\u0027s NCAA tournament than all other ranking systems."}],"uid":"15436","created_gmt":"2010-04-28 14:07:27","changed_gmt":"2016-10-08 03:05:53","author":"Automator","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2010-04-28T00:00:00-04:00","iso_date":"2010-04-28T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1317","name":"News Briefs"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"145","name":"Engineering"}],"keywords":[{"id":"9212","name":"LRMC; Final Four; ISyE"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDon Fernandez\u003C\/p\u003E\u003Cp\u003E404-894-6016\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:don.fernandez@comm.gatech.edu\u0022\u003Edon.fernandez@comm.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["don.fernandez@comm.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}