First Page | Document Content | |
---|---|---|
Date: 2013-08-14 15:26:41Machine learning Bayesian statistics Regression analysis Deviance information criterion Maximum likelihood Cross-validation Fisher information Akaike information criterion Bayesian information criterion Statistics Estimation theory Model selection | Understanding predictive information criteria for Bayesian models∗ Andrew Gelman†, Jessica Hwang‡, and Aki Vehtari§ 14 Aug 2013 Abstract We review the Akaike, deviance, and Watanabe-Akaike information criteria froAdd to Reading ListSource URL: www.stat.columbia.eduDownload Document from Source WebsiteFile Size: 322,23 KBShare Document on Facebook |
Maximum Likelihood Estimation for Allele Frequencies Biostatistics 666 Previous Series of Lectures: Introduction to Coalescent ModelsDocID: 1vqGj - View Document | |
Maximum Likelihood Mohammad Emtiyaz Khan EPFL Sep 29, 2015 ©Mohammad Emtiyaz Khan 2015DocID: 1vhzG - View Document | |
ECE 901 Lecture 14: Maximum Likelihood Estimation and Complexity Regularization R. NowakDocID: 1vgnM - View Document | |
Stochastic Maximum Likelihood Optimization via Hypernetworks Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis & Urs Bergmann {saboor.sheikh, kashif.rasul, urs.bergmann}@zalando.deDocID: 1vg3V - View Document | |
ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood EstimationDocID: 1vbHd - View Document |