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Likelihood function
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511	Package ‘ElstonStewart’ July 2, 2014 Type Package Title Elston-Stewart Algorithm Depends kinship2, parallel, digest Version 1.1 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:44:47 Elston–Stewart algorithm Genetic epidemiology Likelihood function Memoization Statistics Estimation theory Bayesian statistics
512	Siipilehto Silva Fennica[removed]research articles A Comparison of Two Parameter Prediction Methods for Stand Structure in Finland A Comparison of Two Parameter Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 07:18:04 Diameter at breast height Normal distribution Maximum likelihood Weibull distribution Linear regression Log-normal distribution Likelihood function Statistics Estimation theory Basal area
513	February 20, 2014 Time: 10:27am chapter1.tex Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2014-04-07 17:17:34 Probability distributions Bayesian statistics Mixture distribution Mixture model Normal distribution Likelihood function Maximum likelihood Multivariate normal distribution Bimodal distribution Statistics Probability and statistics Estimation theory
514	Minimum Risk Annealing for Training Log-Linear Models∗ David A. Smith and Jason Eisner Department of Computer Science Center for Language and Speech Processing Johns Hopkins University Baltimore, MD 21218, USA Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2006-06-12 12:15:34 Bayesian statistics Econometrics M-estimators Maximum likelihood Bayes estimator Expectation–maximization algorithm Loss function Likelihood function Supervised learning Statistics Estimation theory Statistical theory
515	Fast global convergence of gradient methods for high-dimensional statistical recovery Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-02-05 16:46:27 Econometrics M-estimators Statistical inference Maximum likelihood Poisson regression Loss function Consistent estimator Dimensional analysis Estimator Statistics Estimation theory Statistical theory
516	Local Privacy and Statistical Minimax Rates John C. Duchi† Michael I. Jordan†,∗ , and Martin J. Wainwright†,∗ Department of Electrical Engineering and Computer Science† and Department of Statistics∗ Univers Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-08-15 20:36:13 Estimation theory Econometrics Loss function Minimax Normal distribution Kullback–Leibler divergence Differential privacy Maximum likelihood Statistics Statistical theory Decision theory
517	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:16:50 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Matrix norm Statistics Estimation theory Statistical theory
518	High-dimensional statistics: Some progress and challenges ahead Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-03 10:26:51 Econometrics Asymptotic theory Linear regression Loss function Estimator Fisher information Maximum likelihood Statistics Estimation theory Statistical theory
519	Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-03 10:52:44 Econometrics Statistical inference Regression analysis Maximum likelihood Parametric model Linear regression Consistent estimator Matrix norm Loss function Statistics Estimation theory Statistical theory
520	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:22:51 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Consistent estimator Statistics Estimation theory Statistical theory

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