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Conjugate prior
Results: 254

#	Item
51	Regime-Switching Models May 18, 2005 James D. Hamilton Department of Economics, 0508 University of California, San Diego La Jolla, CA Add to Reading List Source URL: econweb.ucsd.edu Language: English - Date: 2005-08-29 12:45:38 Bayesian statistics Statistical theory Markov chain Maximum likelihood Hidden Markov model Likelihood function Conjugate prior Bayes factor Statistics Estimation theory Markov models
52	Bayesian Inference for Non-Markovian Point Processes Peter Guttorp∗ and Thordis L. Thorarinsdottir† November 19, Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-11-19 13:41:42 Bayesian statistics Estimation theory Conjugate prior Cox process Point process Marginal likelihood Normal distribution Gaussian process Bayes estimator Statistics Stochastic processes Poisson processes
53	Unconditional Distributions Obtained from Conditional Specification Models with Applications in Risk Theory E. G´ omez-D´ eniza and E. Calder´ın–Ojedab Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:06:33 Probability and statistics Exponentials Bayesian statistics Estimation theory Statistical theory Conjugate prior Gamma distribution Conway–Maxwell–Poisson distribution Exponential distribution Statistics Poisson processes Mathematical analysis
54	1 A re-examination of a widely-accepted Bayesian Mixed Logit estimator Alex Moore1 Department of Statistics, Macquarie University. Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:11 Estimation theory Categorical data Regression analysis Discrete choice Maximum likelihood Conjugate prior Mixed logit Multivariate normal distribution Normal distribution Statistics Statistical models Bayesian statistics
55	Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes Ehsan Abbasnejad Scott Sanner ANU & NICTA NICTA & ANU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Markov chain Normal distribution Dirichlet process Bayesian inference Marginal likelihood Conjugate prior Statistics Bayesian statistics Mixture model
56	Modeling Dependable Systems using Hybrid Bayesian Networks Martin Neil†‡, Manesh Tailor‡, David Marquez†, Norman Fenton†‡ and Peter Hearty† † Department of Computer Science, Queen Mary, University of Lon Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:03 Bayesian inference Markov chain Probability distribution Graphical model Conjugate prior Statistics Bayesian statistics Bayesian network
57	Modeling Dependable Systems using Hybrid Bayesian Networks Martin Neil†‡, Manesh Tailor‡, David Marquez†, Norman Fenton†‡ and Peter Hearty† † Department of Computer Science, Queen Mary, University of Lon Add to Reading List Source URL: www.agena.co.uk Language: English - Date: 2010-02-23 15:24:03 Bayesian inference Markov chain Probability distribution Graphical model Conjugate prior Statistics Bayesian statistics Bayesian network
58	Statistical Inference and Learning- Ex-3 Jonathan Rosenblatt and Boaz Nadler due on JanQ1 Let Xi be n i.i.d. samples from a P oisson(λ) distribution. Find an α level most powerful test for testing H0 : λ = 1 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-01-15 03:05:51 Exponentials Econometrics Maximum likelihood Sufficient statistic Exponential family Normal distribution Confidence interval Fisher information Conjugate prior Statistics Statistical theory Estimation theory
59	On Universal Prediction and Bayesian Confirmation Marcus Hutter RSISE @ ANU and SML @ NICTA Canberra, ACT, 0200, Australia Add to Reading List Source URL: www.hutter1.net Language: English - Date: 2007-08-20 23:48:07 Estimation theory Statistical theory Statistical inference Kolmogorov complexity Symbol Conjugate prior Fisher information Marcus Hutter Loss function Statistics Bayesian statistics Econometrics
60	Conjugate Priors for Generalized MaxEnt Families Brendan van Rooyen and Mark D. Reid The Australian National University & NICTA Abstract. In this work we show that a notion of a conjugate prior for non exponential family Add to Reading List Source URL: mark.reid.name Language: English - Date: 2015-03-10 00:10:59 Bayesian statistics Exponentials Bayes estimator Bayesian inference Exponential family Conjugate prior Loss function Entropy Principle of maximum entropy Statistics Statistical theory Estimation theory