<div dir="ltr"><span style="color:rgb(20,24,35);font-family:helvetica,arial,sans-serif;font-size:14px;line-height:17.5636px">Bom dia pessoal. Quem estiver interessado no novo ciclo de seminarios, dessa vez sobre Statistical Learning:</span><div><span style="color:rgb(20,24,35);font-family:helvetica,arial,sans-serif;font-size:14px;line-height:17.5636px"><br></span></div><div><font color="#141823" face="helvetica, arial, sans-serif"><span style="font-size:14px;line-height:17.5636px"><a href="http://hedibert.org/current-teaching/#tab-statistical-learning">http://hedibert.org/current-teaching/#tab-statistical-learning</a></span></font></div><div><span style="color:rgb(20,24,35);font-family:helvetica,arial,sans-serif;font-size:14px;line-height:17.5636px"><br></span></div><div><span style="color:rgb(20,24,35);font-family:helvetica,arial,sans-serif;font-size:14px;line-height:17.5636px">Por favor me avise para eu comecar a organizar uma lista de participantes.</span></div><div><font color="#141823" face="helvetica, arial, sans-serif"><span style="font-size:14px;line-height:17.5636px"><br></span></font></div><div><font color="#141823" face="helvetica, arial, sans-serif"><span style="font-size:14px;line-height:17.5636px">Abs,</span></font></div><div><font color="#141823" face="helvetica, arial, sans-serif"><span style="font-size:14px;line-height:17.5636px">Hedibert</span></font></div><div><font color="#141823" face="helvetica, arial, sans-serif"><span style="font-size:14px;line-height:17.5636px"><br></span></font><div><div><span style="color:rgb(20,24,35);font-family:helvetica,arial,sans-serif;font-size:14px;line-height:17.5636px"><br></span></div><div><span style="color:rgb(20,24,35);font-family:helvetica,arial,sans-serif;font-size:14px;line-height:17.5636px"><br></span></div><div><p style="margin:0px 0px 20px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:22px;font-family:Helvetica,Arial;vertical-align:baseline;color:rgb(102,110,116);letter-spacing:0.25px;background-color:rgb(247,247,247)"><strong style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-stretch:inherit;font-size:15px;line-height:inherit;font-family:inherit;vertical-align:baseline">Bayesian Statistical Learning: Readings in Statistics and Econometrics</strong></p><p style="margin:0px 0px 20px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:22px;font-family:Helvetica,Arial;vertical-align:baseline;color:rgb(102,110,116);letter-spacing:0.25px;background-color:rgb(247,247,247)">Organizer: <a href="http://hedibert.org/current-teaching/www.hedibert.org" style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:inherit;font-family:inherit;vertical-align:baseline;color:rgb(0,147,208);text-decoration:none;outline:0px">Hedibert Freitas Lopes</a> and Paulo Marques</p><p style="margin:0px 0px 20px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:22px;font-family:Helvetica,Arial;vertical-align:baseline;color:rgb(102,110,116);letter-spacing:0.25px;background-color:rgb(247,247,247)">Email: <span style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;line-height:1.5em;font-family:inherit;vertical-align:baseline">hedibertFL at <a href="http://insper.edu.br">insper.edu.br</a></span></p><p style="margin:0px 0px 20px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:22px;font-family:Helvetica,Arial;vertical-align:baseline;color:rgb(102,110,116);letter-spacing:0.25px;background-color:rgb(247,247,247)">In this Second Readings in Statistics and Econometrics we will study and discuss, through a series of well established papers, the broad topic of Statistical Learning with an emphasis on its natural Bayesian solutions. The 5 lectures and 8 seminars will take place on Fridays between 10am and 12pm from January 29th to April 8th 2016. Paulo and I will give lectures discussing traditional Statistical Learning techniques, alternated with seminars given by the participants on papers presenting Bayesian counterparts to the techniques discussed in the lectures.</p><p style="margin:0px 0px 20px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:22px;font-family:Helvetica,Arial;vertical-align:baseline;color:rgb(102,110,116);letter-spacing:0.25px;background-color:rgb(247,247,247)"><strong style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-stretch:inherit;font-size:15px;line-height:inherit;font-family:inherit;vertical-align:baseline">Outline of the meetings (5 lectures and 8 seminars)</strong></p><ol style="margin:0px 0px 21px 20px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:22px;font-family:Helvetica,Arial,sans-serif;vertical-align:baseline;color:rgb(101,112,123);background-color:rgb(247,247,247)"><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Januaryt 29th: Lecture 1 on k-nearest neighors (k-NN)</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">February 2nd: Seminars<ol style="margin:4px 0px 0px 30px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:12.6px;line-height:inherit;font-family:inherit;vertical-align:baseline"><li style="margin:0px 0px 6px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 1: Holmes and Adams (2002,2003)</li><li style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 2: Cucala, Marin, Robert and Titterington (2009)</li></ol></li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">February 12th: Lecture 2 on LASSO regularization</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">February 19th: Seminars<ol style="margin:4px 0px 0px 30px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:12.6px;line-height:inherit;font-family:inherit;vertical-align:baseline"><li style="margin:0px 0px 6px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 3: Griffin and Brown (2010,2012,2014)</li><li style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 4: Polson, Scott and Windle (2014)</li></ol></li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">February 26th: Lecture 3 on Random Forests</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">March 4th: Seminar<ol style="margin:4px 0px 0px 30px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:12.6px;line-height:inherit;font-family:inherit;vertical-align:baseline"><li style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 5: Chipman, George and McCulloch, (2010)</li></ol></li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">March 11th: Lecture 4 on Supporting Vector Machines</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">March 18th: Seminar<ol style="margin:4px 0px 0px 30px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:12.6px;line-height:inherit;font-family:inherit;vertical-align:baseline"><li style="margin:0px 0px 6px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 6: Tipping (2001)</li><li style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;font-family:inherit;vertical-align:baseline">Seminar 7: Polson and Scott (2011)</li></ol></li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">April 1st: Lecture 5 on k-means Clustering</li><li style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:1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a,Arial,sans-serif;vertical-align:baseline;color:rgb(101,112,123);background-color:rgb(247,247,247)"><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Chipman, George and McCulloch (2010) BART: Bayesian Additive and Regression Trees. AOAS, 4, 266-298.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Cucala, Marin, Robert and Titterington (2009) A Bayesian Reassessment of Nearest-Neighbor Classification. JASA, 104, 263-273.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Griffin and Brown (2010) Inference with normal-gamma prior distributions in regression prob- lems. BA, 5, 171-188.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Griffin and Brown (2012) Structuring shrinkage: some correlated priors for regression. Biometrika, 99, 481-487.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Griffin and Brown (2013) Some priors for sparse regression modelling. BA, 8, 691-702.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Holmes and Adams (2002) A Probabilistic Nearest Neighbour Method for Statistical Pattern Recognition. JRSS-B, 64, 295-306.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Holmes and Adams (2003) Likelihood Inference in Nearest-Neighbour Classification Models. Biometrika, 90, 99-112.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Kulis and Jordan (2012) Revisiting k-means: New Algorithms via Bayesian Nonparametrics. Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Polson and Scott (2011) Data Augmentation for Support Vector Machines. BA, 6, 1-24.</li><li style="margin:0px 0px 14px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Polson, Scott and Windle (2014) The Bayesian Bridge. JRSS-B, 76, 713-733.</li><li style="margin:0px;padding:0px;border:0px;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;font-size:inherit;line-height:18px;font-family:inherit;vertical-align:baseline">Tipping (2001) Sparse Bayesian learning and the Relevance Vector Machine. JMLR, 1, 211-244.</li></ol></div></div></div></div>