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Multivariate normal distribution
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#	Item
441	Microsoft Word - new_CML_19May2014.docx Add to Reading List Source URL: ctr.utexas.edu Language: English - Date: 2014-05-28 10:49:20 Fisher information Likelihood function Estimator Bias of an estimator Multivariate normal distribution Delta method Score M-estimator Estimation theory Statistics Maximum likelihood
442	Uncertainty Decoding for Noise Robust Speech Recognition Hank Liao Sidney Sussex College University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2009-05-26 14:32:18 Econometrics Noise Markov models Linear regression Normal distribution Hidden Markov model Additive white Gaussian noise Speech recognition Multivariate normal distribution Statistics Estimation theory Regression analysis
443	Correlated Topic Models David M. Blei Department of Computer Science Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Normal distribution Latent Dirichlet allocation Expectation–maximization algorithm Log-normal distribution Exponential family Topic model Maximum likelihood Multivariate normal distribution Dirichlet distribution Statistics Statistical natural language processing Estimation theory
444	Board of Governors of the Federal Reserve System International Finance Discussion Papers Number 969 March[removed]Exchange Rates Dependence: What Drives it? Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2009-05-21 11:24:34 Probability and statistics Actuarial science Copula Covariance and correlation Correlation and dependence Normal distribution Exchange rate Multivariate normal distribution Joint probability distribution Statistics Probability theory Statistical dependence
445	Simultaneous Inference in General Parametric Models ∗ Torsten Hothorn Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-18 14:40:43 Parametric statistics Statistical tests Regression analysis Analysis of variance Multivariate normal distribution Normal distribution Linear regression F-test Maximum likelihood Statistics Estimation theory Econometrics
446	Using the SuperLearner R Package Eric Polley Biometric Research Branch National Cancer Institute National Institute of Health Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-21 15:12:33 Actuarial science Multivariate statistics Statistics Normal distribution Regression analysis
447	Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms John W. Roberts and Russ Tedrake Computer Science and Artificial Intelligence Laboratory Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2008-09-11 13:21:52 Normal distribution Signal-to-noise ratio Gradient Reinforcement learning Multivariate normal distribution Variance Statistics Mathematical analysis Mathematics
448	A Vignette for the R package: ezsim TszKin Julian Chan June 25, 2014 Contents 1 Introduction Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:48:19 Data analysis Statistical theory Regression analysis Normal distribution Estimator Multivariate normal distribution Errors and residuals in statistics Standard deviation Variance Statistics Estimation theory Statistical inference
449	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
450	1 PARTICLE DATA GROUP NOTES PDG{95{01 14 August 1995 Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2012-03-06 14:05:24 Probability theory Algebra of random variables Multivariate normal distribution Normal distribution Variance Covariance Gaussian function Experimental uncertainty analysis Statistics Data analysis Covariance and correlation

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