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Likelihood function
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611	BAYESIAN STATISTICS 9 J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (Eds.) c Oxford University Press, 2010 Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2014-01-15 23:27:08 Loss function Bayes estimator Consistent estimator Kullback–Leibler divergence Likelihood function Sufficient statistic Maximum likelihood Statistics Statistical theory Estimation theory
612	Discussion of Particle Markov chain Monte Carlo methods by Andrieu et al. Anindya Bhadra, Department of Statistics, University of Michigan, Ann Arbor, MI[removed]USA The authors present an elegant theory for novel methodo Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-03-19 13:46:14 Statistical theory Statistical inference Likelihood function Maximum likelihood Iterated filtering Bayesian inference Expectation–maximization algorithm Statistics Estimation theory Bayesian statistics
613	Statistica Sinica[removed]), [removed]CONCAVE EXTENDED LINEAR MODELING: A THEORETICAL SYNTHESIS Jianhua Z. Huang University of Pennsylvania Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-07 17:56:38 Econometrics Actuarial science Statistical models Linear regression Generalized linear model Maximum likelihood Likelihood function Eta Errors-in-variables models Statistics Estimation theory Regression analysis
614	When is Good Good Enough? A Sructural Estimation of a Sequential R&D Model Benjamin Bental Dan Peled† Add to Reading List Source URL: econ.haifa.ac.il Language: English - Date: 2003-11-03 10:53:19 Statistics Economic growth Economics Manufacturing Productivity Maximum likelihood Production function Research and development Technology Estimation theory Statistical theory
615	Designing a computational system for multi-paradigm modeling Ben Klemens U.S. Census Bureau [removed]∗ March 11, 2010 Add to Reading List Source URL: ben.klemens.org Language: English - Date: 2010-05-21 23:38:20 Regression analysis Econometrics Statistical models Maximum likelihood Likelihood function Likelihood-ratio test Generalized linear model Linear regression Normal distribution Statistics Estimation theory Statistical theory
616	C:/Users/sang/Documents/Jun/MultiPIC_SangJunV8_mj_tex/AOAS-SJH-figures/SJH_AOAS_R2-final-mj.dvi Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-06-20 14:22:44 Econometrics Geostatistics Algebra of random variables Linear regression Covariance matrix Kriging Covariance function Maximum likelihood Regression analysis Statistics Covariance and correlation Estimation theory
617	The Annals of Statistics 2000, Vol. 28, No. 4, 961–999 FUNCTIONAL ANOVA MODELING FOR PROPORTIONAL HAZARDS REGRESSION By Jianhua Z. Huang,1 Charles Kooperberg,2 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2005-10-07 17:56:36 Generalized functions Functional analysis Parametric statistics Proportional hazards models Likelihood function Distribution Analysis of variance Maximum likelihood M-estimator Statistics Estimation theory Regression analysis
618	Estimation of Large Covariance Matrices of Longitudinal Data with Basis Function Approximations Jianhua Z. Huang, Linxu Liu and Naiping Liu ∗ Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2006-07-10 10:26:41 Multivariate normal distribution Generalized least squares Maximum likelihood Cholesky decomposition Normal distribution Covariance Smoothing spline Linear regression B-spline Statistics Regression analysis Estimation theory
619	Time series analysis for nonlinear dynamical systems with applications to modeling of infectious diseases by Anindya Bhadra Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2012-08-13 14:35:46 Monte Carlo methods Statistical inference Bayesian statistics Iterated filtering Particle filter Likelihood function Maximum likelihood Akaike information criterion Importance sampling Statistics Estimation theory Probability and statistics
620	How much nominal rigidity is there in the US economy? Testing a New Keynesian DSGE Model using indirect inference∗ Vo Phuong Mai Le (Cardiff University)† Patrick Minford (Cardiff University and CEPR)‡ Michael Wicke Add to Reading List Source URL: gcoe.ier.hit-u.ac.jp Language: English - Date: 2010-01-18 20:07:58 Statistical theory Econometrics Bayesian statistics Wald test Dynamic stochastic general equilibrium Maximum likelihood Confidence interval Vector autoregression Likelihood function Statistics Statistical inference Estimation theory

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