Navigating the Local Modes of Big Data: The Case of Topic Models∗ Margaret E. Roberts, Brandon M. Stewart, and Dustin Tingley This draft: June 28, 2015 ∗

First Page		Document Content
Date: 2015-06-28 13:49:54 Probability and statistics Statistics Machine learning Statistical natural language processing Bayesian statistics Maximum likelihood estimation Scientific modeling Topic model Mixture model Latent Dirichlet allocation Expectationmaximization algorithm Linear regression		Navigating the Local Modes of Big Data: The Case of Topic Models∗ Margaret E. Roberts, Brandon M. Stewart, and Dustin Tingley This draft: June 28, 2015 ∗ Add to Reading List Source URL: scholar.harvard.edu Download Document from Source Website File Size: 1.011,29 KB Share Document on Facebook

	Maximum Likelihood Estimation for Allele Frequencies Biostatistics 666 Previous Series of Lectures: Introduction to Coalescent Models DocID: 1vqGj - View Document
	ECE 901 Lecture 14: Maximum Likelihood Estimation and Complexity Regularization R. Nowak DocID: 1vgnM - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation DocID: 1vbHd - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown DocID: 1v01G - View Document
	Error model estimation by maximum-likelihood methods in the context of dynamic modeling Mirjam Fehling-Kaschek1 , Daniel Kaschek1 , Wolfgang Mader1 , Marcus Rosenblatt1 , Jens Timmer1,2,3 1 Institute of Physics, Freibur DocID: 1uWYB - View Document