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Maximum likelihood estimation
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#	Item
101	Improving the Accuracy of Demographic and Molecular Clock Model Comparison While Accommodating Phylogenetic Uncertainty Guy Baele,,1 Philippe Lemey,1 Trevor Bedford,2 Andrew Rambaut,2 Marc A. Suchard,3,4,5 and Alexander Add to Reading List Source URL: bedford.io Language: English* - Date: 2014-11-18 16:59:28 Statistical inference Bayesian statistics Statistical theory Estimation theory Probability distributions Coalescent theory Bias of an estimator Mixture model Bayesian inference Monte Carlo method Maximum likelihood estimation Marginal likelihood
102	FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments Morgan N. Price, Paramvir S. Dehal, Adam P. Arkin Presented by Arjun P. Athreya April 21, 2015 CS 598AGB Add to Reading List Source URL: tandy.cs.illinois.edu Language: English - Date: 2015-04-19 19:41:13 Phylogenetics Tree rearrangement Neighbor joining B-tree Tree T-tree Maximum likelihood estimation
103	Discretizing Unobserved Heterogeneity: Approximate Clustering Methods for Dimension Reduction∗ St´ephane Bonhomme† Thibaut Lamadon‡ Add to Reading List Source URL: www.lamadon.com Language: English - Date: 2016-06-29 07:21:24 Estimation theory Statistical theory Econometrics M-estimators Statistical inference Maximum likelihood estimation Estimator Linear regression Efficiency
104	2 Bias-correction of Kalman filter estimators associated to a linear state space model with estimated parameters 3 Add to Reading List Source URL: ria.ua.pt Language: English - Date: 2016-05-13 08:38:39 Estimation theory Estimator Kalman filter Minimum mean square error Maximum likelihood estimation Bias of an estimator Mean squared error Point estimation GaussMarkov theorem Extended Kalman filter Efficient estimator
105	Microsoft Word - Advanced statistical.docx Add to Reading List Source URL: gemwem.ch Language: English - Date: 2016-01-27 10:58:26 Statistical theory Statistical inference Estimation theory Robust statistics Maximum likelihood estimation M-estimator Estimator Resampling Statistics Asymptotic theory Bootstrapping Econometrics
106	c 2009 Society for Industrial and Applied Mathematics ! SIAM REVIEW Vol. 51, No. 4, pp. 661–703 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2010-10-13 18:48:29 Probability distributions Estimation theory Statistical models Exponentials Actuarial science Maximum likelihood estimation Power law Cumulative distribution function KolmogorovSmirnov test Likelihood function Expected value Mode
107	Robust Estimation of Nonrigid Transformation for Point Set Registration Jiayi Ma1,2 , Ji Zhao3 , Jinwen Tian1 , Zhuowen Tu4 , and Alan L. Yuille2 1 Huazhong University of Science and Technology, 2 Department of Statistic Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2013-04-18 12:34:39 Computer vision Estimation theory Statistical theory Robust statistics Regression analysis Image registration Point set registration Shape context Outlier Maximum likelihood estimation Conference on Computer Vision and Pattern Recognition Linear regression
108	Curb Detection for a Pedestrian Robot in Urban Environments Jérôme Maye, Ralf Kaestner, and Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland email: {jerome.maye, ralf.kaestner, roland.siegwart}@mavt.ethz Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 10:54:45 Estimation theory Expectationmaximization algorithm Missing data Mixture model Image segmentation Maximum likelihood estimation RANSAC Algorithm Normal distribution
109	326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2008-02-28 03:58:00 Statistics Statistical theory Bayesian statistics Conjugate prior Hyperprior Normal distribution Bayesian inference Hyperparameter Bayesian network Prior probability Hidden Markov model Maximum likelihood estimation
110	2015 IEEE International Conference on Robotics and Automation (ICRA) Washington State Convention Center Seattle, Washington, May 26-30, 2015 Self-tuning M-estimators G. Agamennoni, P. Furgale and R. Siegwart Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2016-01-26 19:52:59 Estimation theory Statistical theory M-estimators Statistical inference Bayesian statistics Maximum likelihood estimation Normal distribution Bayes estimator Efficiency Estimator Marginal likelihood operator

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