3rd Annual Health Econometrics Workshop

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Date: 2011-09-23 00:53:50 Statistical models Machine learning Estimation theory Categorical data Latent class model Mixture model Maximum likelihood estimation Errors-in-variables models Latent variable model		3rd Annual Health Econometrics Workshop Add to Reading List Source URL: www.healtheconometrics.org Download Document from Source Website File Size: 1,86 MB Share Document on Facebook

	Estimating Uncertainty of Categorical Web Data Davide Ceolin, Willem Robert van Hage, Wan Fokkink, Guus Schreiber VU University Amsterdam DocID: 1v5tG - View Document
	Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors Esther Derman∗1 and Erwan Le Pennec† 1 1 CMAP, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128, Palaise DocID: 1u9C7 - View Document
	How to Effectively Combine Numerical Features and Categorical Features June 14th, 2017 Liangjie Hong Head of Data Science, Etsy Inc. DocID: 1tJHG - View Document
	Data Min Knowl Disc:130–173 DOIs10618Summarizing categorical data by clustering attributes Michael Mampaey · Jilles Vreeken DocID: 1srCH - View Document
	Recent Advances in Categorical Data Analysis Maura E. Stokes SAS Institute Inc. Cary, North Carolina, USA Abstract DocID: 1rYdd - View Document