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Likelihood function
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#	Item
41	Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations Lina Kulakova Computational Science and Engineering Laboratory ETH Zürich Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2016-06-15 20:10:57 Statistics Statistical theory Bayesian statistics Estimation theory Probability distributions Statistical models Uncertainty quantification Bayesian network Bayesian inference Sufficient statistic Likelihood function Normal distribution
42	Testing DSGE models using indirect inference David Meenagh, Patrick Minford, Michael Wickens, Yongdeng Xu March 31, 2016 David Meenagh, Patrick Minford, Michael Wickens, Add to Reading List Source URL: www.imfs-frankfurt.de Language: English - Date: 2016-04-13 04:20:18 Statistics Statistical theory Estimation theory Statistical inference Bayesian statistics Dynamic stochastic general equilibrium Patrick Minford Macroeconomic model Maximum likelihood estimation Bayesian inference Likelihood function Bayes estimator
43	Statistica Sinica), ASYMPTOTICS FOR A 2 × 2 TABLE WITH FIXED MARGINS S. G. Kou and Z. Ying Rutgers University Add to Reading List Source URL: www.rmi.nus.edu.sg Language: English - Date: 2003-11-03 16:14:18 Statistics Statistical theory Estimation theory Probability distributions Statistical inference Bayesian statistics Maximum likelihood estimation Confidence interval Likelihood function Exponential family Normal distribution
44	Paper P254-25 Performing Exact Logistic Regression with the SAS R System Robert E. Derr, SAS Institute Inc., Cary, NC The “METHODOLOGY” section in this paper presents the logistic regression model and the different Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Statistical theory Estimation theory Statistical tests Regression analysis Econometrics Logistic regression Likelihood function Exact test Normal distribution Likelihood-ratio test Sufficient statistic
45	Inference, Models and Simulation for Complex Systems Lecture 5 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-09-09 13:51:36 Statistics Statistical theory Model selection Estimation theory Bayesian statistics Probability distributions Likelihood function Maximum likelihood estimation Likelihood-ratio test Akaike information criterion Marginal likelihood Bayes factor
46	GDELT VISUAL GLOBAL KNOWLEDGE GRAPH (VGKG) POWERED BY GOOGLE CLOUD VISION API DATA FORMAT CODEBOOK 1.0 ALPHAhttp://gdeltproject.org/ ALPHA RELEASE Add to Reading List Source URL: data.gdeltproject.org Language: English - Date: 2015-12-31 13:06:28 Alphabet Inc. Computing World Wide Web Digital media Estimation theory Bayesian statistics Global Database of Events Language and Tone Comma-separated values Google Search Tab-separated values Likelihood function Google
47	Non-parametric estimation of the survivor function for misclassified failure time data Andrew Titman Lancaster University 27 August 2013 Add to Reading List Source URL: www.maths.lancs.ac.uk Language: English - Date: 2013-08-23 12:37:44 Statistics Statistical inference Estimation theory Statistical models Signal processing Censoring Survival analysis Nonparametric statistics Mixture model Bootstrapping Likelihood function
48	Journal of Artificial Intelligence ResearchSubmitted 3/11; published 7/11 Controlling Complexity in Part-of-Speech Induction João V. Graça Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-08-24 11:02:38 Markov models Estimation theory Statistical theory Bayesian statistics Regression analysis Expectationmaximization algorithm Hidden Markov model BaumWelch algorithm Part-of-speech tagging Maximum likelihood estimation Likelihood function KullbackLeibler divergence
49	IMPROVING THE RANKING SYSTEM FOR WOMEN’S PROFESIONAL TENNIS By MAYA MILADINOVIC Add to Reading List Source URL: www2.stetson.edu Language: English - Date: 2014-05-07 15:36:15 Probability distributions Estimation theory Bayesian statistics Likelihood function Maximum likelihood estimation Normal distribution Weibull distribution Hermite distribution Laplace distribution
50	submitted to Geophys. J. Int. Multi-events Earthquake Early Warning algorithm using a Bayesian approach S. Wu1 , M. Yamada2 , K. Tamaribuchi3 and J.L. Beck1 1 Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2014-11-14 04:30:48 Statistical theory Estimation theory Statistical models Earthquake Early Warning Japan Meteorological Agency Bayesian inference Bayesian network Thoku earthquake and tsunami Likelihood function

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