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Generalized normal distribution
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161	CHAPTER 6 Numerical Issues Involved in Inverting Hessian Matrices Jeff Gill and Gary King Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-04 23:37:34 Bayesian statistics Statistical theory Regression analysis Generalized linear model Point estimation Prior probability Cholesky decomposition Maximum likelihood Normal distribution Statistics Estimation theory Statistical inference
162	Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions Barnabás Póczos School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:43:49 Statistical inference Machine learning M-estimators Kullback–Leibler divergence Rényi entropy Estimator Normal distribution Generalized method of moments Bias of an estimator Statistics Estimation theory Statistical theory
163	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 04:26:38 Actuarial science Econometrics Variogram Kriging Semivariance Gaussian process Normal distribution Generalized linear model Linear least squares Statistics Geostatistics Regression analysis
164	Microsoft Word - crd1306body.docx Add to Reading List Source URL: www.nefsc.noaa.gov Language: English - Date: 2013-04-05 12:42:49 Data analysis Actuarial science Generalized linear model Covariance Variance Normal distribution Statistics Regression analysis Statistical models
165	Penalized least squares versus generalized least squares representations of linear mixed models Douglas Bates Department of Statistics University of Wisconsin – Madison June 20, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-19 13:51:41 Matrices Statistical theory Numerical linear algebra Maximum likelihood Multivariate normal distribution Covariance matrix Cholesky decomposition Generalized least squares Fisher information Statistics Estimation theory Regression analysis
166	Gaussian mixture models and the EM algorithm Ramesh Sridharan∗ These notes give a short introduction to Gaussian mixture models (GMMs) and the Expectation-Maximization (EM) algorithm, first for the specific case of GMM Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-05 10:25:35 Expectation–maximization algorithm Normal distribution Standard deviation Kullback–Leibler divergence Likelihood function Generalized method of moments Statistics Estimation theory Maximum likelihood
167	Appendix C Computation in R and Stan We illustrate some practical issues of simulation by fitting a single example—the hierarchical normal model for the eight schools described in Section 5.5. After some background in Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-09-18 03:45:36 Generalized linear model Bayesian statistics Exponential family Fisher information Statistics Estimation theory Normal distribution
168	TODO: This is a placeholder. Final title will be filled later. Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-07-14 17:14:20 Speech recognition Estimation theory Generalized method of moments Autoregressive model Statistics Econometrics Normal distribution
169	ARTICLE IN PRESS Journal of Econometrics[removed]–323 www.elsevier.com/locate/econbase Maximum likelihood estimation of limited and Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2010-08-21 21:11:38 Adaptive quadrature Gaussian quadrature Generalized linear mixed model Random effects model Gauss–Hermite quadrature Importance sampling Integral Multivariate normal distribution Normal distribution Statistics Numerical integration Mathematical analysis
170	Probability Library Functions LOGSF LOGSF PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:34:21 Log-normal distribution Normal distribution Probability distribution Scale parameter Logistic distribution Generalized normal distribution Statistics Mathematical analysis Probability theory

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