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Conjugate prior
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121	Prior near ignorance for inferences in the k-parameter exponential family A. Benavoli∗ and M. Zaffalon IDSIA, Galleria 2, CH-6928 Manno (Lugano), Switzerland This paper proposes a model of prior ignorance about a multi Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-10-08 09:39:14 Probability and statistics Prior probability Exponential map Exponential family Conjugate prior Exponential function Bayesian inference Hierarchical Bayes model Vehicle Identification Number Bayesian statistics Statistics Exponentials
122	ECAI 2014 T. Schaub et al. (Eds.) © 2014 The Authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial Licen Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-08-03 02:46:45 Multivariate statistics Singular value decomposition Linear algebra Numerical linear algebra Principal component analysis Conjugate prior Variational Bayesian methods Normal distribution Multivariate normal distribution Statistics Algebra Bayesian statistics
123	Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Markov models Bayesian network Networks Markov chain Conjugate prior Gamma distribution Exponential family Bayesian inference Sufficient statistic Statistics Bayesian statistics Statistical theory
124	NeuroImage[removed]–100 Contents lists available at ScienceDirect NeuroImage j o u r n a l h o m e p a g e : w w w. e l s e v i e r. c o m / l o c a t e / y n i m g Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2011-05-30 14:04:47 Statistical models Magnetic resonance imaging Bayesian statistics Functional magnetic resonance imaging Mixture model Voxel Spatial analysis Conjugate prior Cross-validation Statistics Machine learning Neuroimaging
125	Introduction to Bayesian Statistics J. Hess Traditional Approach: p(D\|q) = probability of getting data D if true parameter is q. Select a value for the parameter q* that maximizes likelihood of getting this data: Add to Reading List Source URL: bauer.uh.edu Language: English - Date: 2008-12-02 17:37:51 Conjugate prior Bayes estimator Prior probability Normal distribution Gamma distribution Variance Empirical Bayes method Bayesian linear regression Statistics Bayesian statistics Probability and statistics
126	Estimation and Clustering with Infinite Rankings Marina Meil˘ a and Le Bao Department of Statistics University of Washington Add to Reading List Source URL: uai2008.cs.helsinki.fi Language: English - Date: 2008-05-21 05:07:30 Combinatorics Maximum likelihood Expectation–maximization algorithm Permutation Conjugate prior Sufficient statistic Standard deviation Model theory Permutation pattern Statistics Estimation theory Statistical theory
127	Likelihood Adaptive Modified Penalty and its properties Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2011-06-22 11:29:56 Stability Statistics Conjugate prior Akaike information criterion
128	Microsoft PowerPoint - bart-fields.ppt Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2005-11-15 15:23:46 Structure Model theory Markov chain Statistics Bayesian statistics Conjugate prior
129	Parameter balancing in kinetic models of cell metabolism Supplementary information: Parameter balancing - method and formulae Timo Lubitz, Marvin Schulz, Edda Klipp, and Wolfram Liebermeister Humboldt-Universit¨ at zu B Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Equilibrium constant Conjugate prior Dimensional analysis PH Normal distribution Logarithm Enzyme kinetics Arrhenius equation Determination of equilibrium constants Chemistry Equilibrium chemistry Physical chemistry
130	Decentralized Bayesian Reinforcement Learning for Online Agent Collaboration A. Rogers1 , N. R. Jennings1 S. McClean4 , G. Parr4 W. T. L. Teacy1 , G. Chalkiadakis2 Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2012-06-06 11:47:06 Bayesian statistics Stochastic control Markov models Markov decision process Reinforcement learning Conjugate prior Bayesian inference Q-learning Action selection Statistics Dynamic programming Markov processes

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