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Marginal likelihood
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91	PDF Document Add to Reading List Source URL: www.clevelandfed.org Language: English - Date: 2011-05-03 10:26:02 Econometrics Probability theory Data analysis Forecasting Conjugate prior Law of large numbers Vector autoregression Marginal likelihood Statistics Time series analysis Bayesian statistics
92	Wo r k i n g Pa p e r S e r i e S NO[removed]o c t o b e r 2013 Granger-Causal-Priority and Choice of Variables in Vector Autoregressions Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2013-10-16 04:45:39 Bayesian statistics Philosophy of science Bayesian VAR Vector autoregression Causality Regression analysis Bayesian inference Gibbs sampling Marginal likelihood Statistics Econometrics Time series analysis
93	PDF Document Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-04-21 16:22:40 Conjugate prior Markov chain Monte Carlo Prior probability Maximum likelihood Gibbs sampling Estimation theory Generalized linear model Metropolis–Hastings algorithm Marginal likelihood Statistics Bayesian statistics Bayesian inference
94	WORKING PAPER SERIES NO[removed]november 2012 Prior Selection for Vector Autoregressions Domenico Giannone, Michele Lenza Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2012-11-16 11:11:49 Hyperprior Empirical Bayes method Hierarchical Bayes model Hyperparameter Prior probability Bayesian inference Bayesian VAR Marginal likelihood Likelihood function Bayesian statistics Statistics Conjugate prior
95	On the fit and forecasting performance of New-Keynesian models Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2005-09-02 08:33:18 New classical macroeconomics Dynamic stochastic general equilibrium Macroeconomic model Economic theories Time series analysis General equilibrium theory Vector autoregression Economic model Marginal likelihood Macroeconomics Economics New Keynesian economics
96	Melbourne Institute Working Paper Series Working Paper No[removed]A Bayesian Simulation Approach to Inference on a Multi-State Latent Factor Intensity Model Chew Lian Chua, G. C. Lim and Penelope Smith Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2010-06-15 20:51:35 Linear temporal logic Symbol Statistics Marginal likelihood Probability theory
97	Melbourne Institute Working Paper Series Working Paper No[removed]A Bayesian Simulation Approach to Inference on a Multi-State Latent Factor Intensity Model Chew Lian Chua, G. C. Lim and Penelope Smith Add to Reading List Source URL: melbourneinstitute.com Language: English - Date: 2010-06-15 20:51:35 Linear temporal logic Symbol Statistics Marginal likelihood Probability theory
98	Supporting Text Methods Bayesian chunk learner (BCL) Prior distributions An inventory I was defined as the set of chunks, and for each chunk the shapes it Add to Reading List Source URL: www.bcs.rochester.edu Language: English - Date: 2014-02-10 09:56:50 Probability Statistical inference Probability theory Prior probability Statistical hypothesis testing Markov chain Marginal likelihood Exponential family Parameter Statistics Probability and statistics Bayesian statistics
99	PDF Document Add to Reading List Source URL: www.medicine-science.net23.net Language: English - Date: 2013-02-01 02:13:12 Bayesian statistics Econometrics Maximum likelihood Fisher information Conjugate prior Marginal likelihood Asymptotic theory NOνA Likelihood function Statistics Estimation theory Statistical theory
100	Systemic remodeling of the redox regulatory network due to RNAi perturbations of glutaredoxin 1, thioredoxin 1, and glucose-6-phosphate dehydrogenase Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Estimation theory Regression analysis Bayesian inference Bayes factor Prior probability Marginal likelihood Kullback–Leibler divergence Linear regression Optimal design Statistics Bayesian statistics Statistical theory

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