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Point estimation
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#	Item
181	The Probability Approach to Default Probabilities Add to Reading List Source URL: www.occ.gov Language: English - Date: 2014-09-07 08:45:10 Statistical inference Maximum likelihood Bayes estimator Bias of an estimator Estimator Point estimation Median Probability interpretations Mean squared error Statistics Estimation theory Statistical theory
182	Fast Gaussian Process Methods for Point Process Intensity Estimation John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA, USA[removed]JCUNNIN @ STANFORD . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 17:24:58 Normal distribution Matrices Estimation theory Orthogonal matrix Spectrum Multivariate normal distribution Determinant Log-normal distribution Gaussian process Algebra Statistics Mathematics
183	Webinar Overview 1.  Update on MRIP’s new catch estimation methodology. 2.  Discussion of working group’s involvement of regional action agendas. Add to Reading List Source URL: www.nmfs.noaa.gov Language: English - Date: 2011-08-16 16:50:06 Recreational fishing Point estimation Estimation Project management Sampling
184	The Newsletter of the R Project News Volume 6/1, March 2006 Add to Reading List Source URL: www.r-project.org Language: English - Date: 2006-04-21 11:12:24 Monte Carlo software Estimation theory Markov models Just another Gibbs sampler OpenBUGS Markov chain Monte Carlo WinBUGS Point estimation Markov chain Statistics Statistical inference Bayesian statistics
185	Biostatistics (2000), 1, 1, pp. 27–34 Printed in Great Britain Should we take measurements at an intermediate design point? ANDREW GELMAN Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-03-19 13:28:54 Econometrics Least squares Statistical inference Bayes estimator Mean squared error Linear regression Variance Normal distribution Estimator Statistics Estimation theory Regression analysis
186	The Chandra Source Catalog: X−ray Aperture Photometry Vinay L. Kashyap1 , F.A. Primini1 , K.J. Glotfelty1 , C.S. Anderson1 , N.R. Bonaventura1 , J.C. Chen1 , J.E. Davis2 , S.M. Doe1 , I.N. Evans1 , J.D. Evans1 , G. Fab Add to Reading List Source URL: cxc.harvard.edu Language: English - Date: 2009-01-27 14:28:33 Optics Estimation theory Bayesian inference Statistical inference Point spread function Maximum likelihood Probability density function Normal distribution Statistics Statistical theory Bayesian statistics
187	Methodology for Uncertainty Analysis of Dynamic Computational Toxicology Models Jimena Davis1, John Wambaugh1, Ramon I. Garcia2, R. Woodrow Setzer1 research d ev el opme nt Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-05-07 10:14:12 Physiologically based pharmacokinetic modelling Hierarchical Bayes model Estimation theory Prior probability Confidence interval Parameter Point estimation Hyperparameter Mixture model Statistics Bayesian statistics Statistical inference
188	Proximate Point Searching Erik D. Demaine MIT Laboratory for Computer Science, 200 Technology Square, Cambridge, MA 02139, USA. John Iacono Add to Reading List Source URL: john2.poly.edu Language: English - Date: 2007-12-27 15:24:28 Estimation theory Polar coordinate system Trigonometry Triangle inequality Maximum likelihood Sine Mathematics Geometry Mathematical analysis
189	PDF Document Add to Reading List Source URL: iis.uibk.ac.at Language: English - Date: 2013-05-17 07:27:57 Non-parametric statistics Signal processing Kernel density estimation Kernel principal component analysis Iterative closest point Support vector machine Gaussian function Normal distribution Manifold Statistics Machine learning Multivariate statistics
190	PDF Document Add to Reading List Source URL: www3.imperial.ac.uk Language: English Statistical theory Covariance and correlation Signal processing Variance Estimator Bias of an estimator Mean squared error Point estimation Correlation and dependence Statistics Estimation theory Statistical inference

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