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Bayesian
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561	The Foundations of Bayesian Epistemology: A Philosophical Introduction Kenny Easwaran October 23, 2015 Chapter 4: Degrees are numerical Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Utility Microeconomics Game theory Epistemology Probability interpretations Expected utility hypothesis Probability Belief Bayesian probability Preference DempsterShafer theory Dutch book
562	CORANI ET AL.: ROBUST TEXTURE RECOGNITION USING IMPRECISE CLASSIFIERS 1 Robust Texture Recognition Using Credal Classifiers Add to Reading List Source URL: bmvc10.dcs.aber.ac.uk Language: English Statistical classification Machine learning Bayesian statistics Naive Bayes classifier Pattern recognition Supervised learning Credal set Imprecise probability Classifier Bayesian classifier Bayesian inference Bayes classifier
563	A Bayesian Approach to Concept Drift Stephen H. Bach, Marcus A. Maloof Introduction Comparing Conditional Distributions Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:07 Bayesian statistics Statistical models Machine learning Prior probability Bayesian network Concept drift Probability distribution Naive Bayes classifier Ensemble learning
564	Non-Bayesian Optimal Search and Dynamic Implementation Alex Gershkov and Benny Moldovanu January 22, 2009 Abstract Add to Reading List Source URL: www.econ2.uni-bonn.de Language: English - Date: 2014-03-26 06:49:17 Probability distributions Statistical theory Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Principle of maximum entropy Dirichlet distribution Mechanism design XK Multinomial distribution Normal distribution
565	CS168: The Modern Algorithmic Toolbox Lecture #14: Markov Chain Monte Carlo Tim Roughgarden & Gregory Valiant∗ May 11, 2016 The previous lecture covered several tools for inferring properties of the distribution that u Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Markov models Markov processes Stochastic processes Monte Carlo methods Statistical mechanics Markov chain Stochastic matrix Markov property Random walk Continuous-time Markov chain Bayesian inference in phylogeny
566	A BAYESIAN GAME APPROACH TO COEXISTENCE WITH MALICIOUS AND SELFISH NODES IN WIRELESS AD-HOC NETWORKS By J. ANDREW ROLES Add to Reading List Source URL: www2.stetson.edu Language: English - Date: 2014-05-07 15:37:26 Wireless networking Wireless ad hoc network Mesh networking Mobile ad hoc network Routing Hidden node problem Link-state routing protocol
567	BARGAINING WITH WEAK PRECOMMITMENTS † TYMON TATUR Abstract. We study how weak precommitments aect bargaining out- Add to Reading List Source URL: www.wiwi.uni-bonn.de Language: English - Date: 2015-10-19 10:36:49 Game theory Bargaining Strategy Bayesian game Nash equilibrium Economic equilibrium Solution concept Outcome
568	BAYESIAN METER TRACKING ON LEARNED SIGNAL REPRESENTATIONS Andre Holzapfel, Thomas Grill Austrian Research Institute for Artificial Intelligence (OFAI) , Add to Reading List Source URL: www.rhythmos.org Language: English - Date: 2016-07-05 07:13:39 Patterns Computational neuroscience Artificial neural networks Cognitive musicology Time signatures Convolutional neural network Metre Rhythm Bayesian network Septuple meter Tempo Beat
569	Combined Bayesian AVO inversion with rock physics to predict gas carbonate reservoir Add to Reading List Source URL: www.rpl.uh.edu Language: English - Date: 2011-10-10 15:19:56 Petroleum geology Economic geology Geophysics Seismology Geostatistics Seismic inversion Amplitude versus offset Inversion Petrophysics Well logging Seismic to simulation Seismic anisotropy
570	p-values: The insight to modern statistical inference D A S Fraser ∗ Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2016-06-28 14:43:14 Estimation theory Statistical theory Econometrics Bayesian statistics Statistical inference Likelihood function Confidence interval Sufficient statistic Bias of an estimator Observed information Maximum likelihood estimation Likelihood principle

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