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Likelihood function
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391	Firing Squads and Fine Tuning: Sober on the Design Argument∗ Jonathan Weisberg Rutgers University Abstract Elliott Sober has recently argued that the cosmological design argument Add to Reading List Source URL: www.utm.utoronto.ca Language: English - Date: 2013-06-02 18:03:15 Physical cosmology Theology Intelligent design Anthropic principle Cosmology Likelihood principle Likelihood function Intelligent designer Statistical hypothesis testing Statistics Estimation theory Science
392	Testability, Likelihoods, and Design Lydia McGrew Abstract: It is often assumed by friends and foes alike of intelligent design that a likelihood approach to design inferences will require evidence regarding the specific Add to Reading List Source URL: www.lydiamcgrew.com Language: English - Date: 2006-01-16 16:13:42 Bayesian statistics Creationist objections to evolution Arguments for the existence of God Intelligent design movement Reasoning William A. Dembski Inference Bayesian inference Likelihood function Statistics Creationism Intelligent design
393	E¢ cient Likelihood Evaluation of State-Space Representations David N. DeJong , Hariharan Dharmarajan , Roman Liesenfeld Guilherme V. Moura , Jean-Francois Richard Pitt Bates and White Add to Reading List Source URL: www.szgerzensee.ch Language: English - Date: 2014-05-16 09:37:51 Robot control Monte Carlo methods Bayesian statistics Economics Particle filter Dynamic stochastic general equilibrium Likelihood function Normal distribution Estimation theory Statistics Control theory
394	Estimating Dynamic Discrete-Choice Games of Incomplete Information∗ Michael Egesdal† Zhenyu Lai‡ Add to Reading List Source URL: qeconomics.org Language: English - Date: 2014-11-24 16:20:37 Statistical inference M-estimators Econometrics Maximum likelihood Consistent estimator Estimator Loss function Bayes estimator Statistics Estimation theory Statistical theory
395	On Learning Discrete Graphical Models Using Greedy Methods Christopher C. Johnson University of Texas at Asutin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2011-10-28 19:06:37 Statistical theory Categorical data Regression analysis Maximum likelihood Feature selection Logistic regression Likelihood function Gibbs sampling Expectation–maximization algorithm Statistics Estimation theory M-estimators
396	Maximum Likelihood Inference in Weakly Identiﬁed DSGE Models. By Isaiah Andrews1 and Anna Mikusheva 2 3 Add to Reading List Source URL: qeconomics.org Language: English - Date: 2014-11-24 16:20:37 Econometrics Statistical inference Information theory Maximum likelihood Fisher information Generalized method of moments Consistent estimator Asymptotic theory Likelihood function Statistics Estimation theory Statistical theory
397	On Learning Discrete Graphical Models using Group-Sparse Regularization Ali Jalali ECE, UT Austin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2011-04-08 11:45:11 Statistical models Graphical models Statistical theory Maximum likelihood Markov random field Logistic regression Fisher information Likelihood function Graphical models for protein structure Statistics Estimation theory Bayesian statistics
398	Detecting Denial of Service Attacks with Bayesian Classifiers and the Random Neural Network ¨ G¨ulay Oke, George Loukas, Erol Gelenbe Abstract— Denial of Service (DoS) is a prevalent threat in Add to Reading List Source URL: san.ee.ic.ac.uk Language: English - Date: 2007-04-26 10:04:20 Random neural network Computational neuroscience Computational statistics Denial-of-service attack Erol Gelenbe Artificial neural network Likelihood function Naive Bayes classifier Histogram Statistics Neural networks Bayesian statistics
399	Estimating Dynamic Discrete-Choice Games of Incomplete Information∗ Michael Egesdal† Zhenyu Lai‡ Add to Reading List Source URL: www.qeconomics.org Language: English - Date: 2014-11-24 16:20:37 Statistical inference M-estimators Econometrics Maximum likelihood Consistent estimator Estimator Loss function Bayes estimator Statistics Estimation theory Statistical theory
400	Credal Model Averaging for classification: representing prior ignorance and expert opinions. Giorgio Corania,∗, Andrea Mignattib a Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-09-02 04:15:44 Probability and statistics Probability Bayesian inference Marginal likelihood Probability theory Likelihood function Prior probability Credal set Statistical theory Bayesian statistics Statistics Estimation theory

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