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Maximum a posteriori estimation
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21	Astronomy & Astrophysics A&A 552, A133[removed]DOI: [removed][removed] Add to Reading List Source URL: jstarck.free.fr Language: English - Date: 2013-04-16 04:16:15 Estimation theory Regression analysis Bayesian inference Regularization Inverse problem Maximum a posteriori estimation Cosmic microwave background radiation Compressed sensing Statistics Statistical theory Bayesian statistics
22	DOI: [removed]j[removed]01399.x Biometrics 66, 1162–1173 December[removed]Estimating and Projecting Trends in HIV/AIDS Generalized Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-05-24 20:39:46 Monte Carlo methods Bayesian statistics Computational statistics Importance sampling Markov chain Monte Carlo Bayes factor Fisher information Maximum a posteriori estimation Likelihood function Statistics Estimation theory Bayesian inference
23	MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2002-10-16 06:37:08 Bayesian inference Statistical inference Statistical theory Likelihood function Normal distribution Maximum a posteriori estimation Bayes estimator Prior probability Bayesian probability Statistics Bayesian statistics Estimation theory
24	Discussion Article Discussion Andreas BUJA Gelman’s article is a thought-provoking mix of opinions and creative methodology. I agree with Gelman that the disjunction of models and exploratory data analysis (EDA) Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2007-10-12 12:46:12 Resampling Confidence interval Non-parametric statistics Parameter Maximum a posteriori estimation Mixture model Empirical Bayes method Statistics Statistical inference Bootstrapping
25	Collision-Free State Estimation Lawson L.S. Wong, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez Abstract— In state estimation, we often want the maximum likelihood estimate of the current state. For the commonly us Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:18:12 Statistical theory Maximum likelihood Kalman filter Constraint Normal distribution Maximum a posteriori estimation Combinatorial optimization Variance Statistics Estimation theory Mathematical optimization
26	The Journal of Wildlife Management 9999:1–9; 2011; DOI: [removed]jwmg.317 Note A Framework for Inference About Carnivore Density From Unstructured Spatial Sampling Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2013-02-21 19:35:15 Survey methodology Estimation theory Maximum a posteriori estimation Mixture model Sample size determination Statistics Statistical inference Sampling
27	Collision-Free State Estimation Lawson L.S. Wong, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez Abstract— In state estimation, we often want the maximum likelihood estimate of the current state. For the commonly us Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-07-07 18:01:19 Statistical theory Maximum likelihood Kalman filter Constraint Normal distribution Maximum a posteriori estimation Combinatorial optimization Variance Statistics Estimation theory Mathematical optimization
28	Prediction in multilevel generalized linear models Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2011-09-05 23:13:36 Statistical methods Analysis of variance Statistical models Best linear unbiased prediction Generalized linear model Empirical Bayes method Bayes estimator Mixed model Maximum a posteriori estimation Statistics Regression analysis Estimation theory
29	Optimizing Without Derivatives: What Does the No Free Lunch Theorem Actually Say? Loris Serafino Add to Reading List Source URL: www.ams.org Language: English - Date: 2014-07-01 08:28:02 Mathematics Global optimization Maximum a posteriori estimation Genetic algorithm Estimation of distribution algorithm Multidisciplinary design optimization No free lunch in search and optimization Combinatorial optimization Surrogate model Mathematical optimization Statistics Applied mathematics
30	Bayesian Biostatistics Emmanuel Lesaffre and Andrew B Lawson 17 July 2013 Errata Note that errata with * are in first and second print of book, all other errata have been corrected in Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-12-07 01:34:52 Estimation theory Econometrics Statistical theory Confidence interval Credible interval Lasso Maximum a posteriori estimation Linear regression Prior probability Statistics Statistical inference Bayesian statistics