Bayesian econometrics

Results: 430



#Item
191Statistical models / Philosophy of science / Econometrics / Causal model / Bayesian network / Inductive reasoning / Correlation and dependence / Causal Markov condition / Structural equation modeling / Statistics / Causality / Graphical models

Learning Causal Relationships Jon Williamson∗ presented at ‘Causality: Metaphysics and Methods’ LSE[removed]June 2002

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Source URL: www.kent.ac.uk

Language: English - Date: 2004-08-03 15:08:14
192Knowledge / Philosophy of science / Econometrics / Graphical models / Regression analysis / Bayesian network / Indeterminism / Determinism / Causal model / Statistics / Science / Causality

Introduction Federica Russo and Jon Williamson Causality and probability in the sciences Towards the end of the nineteenth century Karl Pearson noted that a probabilistic dependence between two variables does not necessa

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Source URL: www.kent.ac.uk

Language: English - Date: 2006-12-13 06:55:36
193Bayesian statistics / Econometrics / Statistical theory / Confidence interval / Bayes estimator / Markov chain / Likelihood function / Normal distribution / Regression analysis / Statistics / Estimation theory / Statistical inference

Bayesian uncertainty quantification and propagation in molecular dynamics simulations: A high performance computing framework Panagiotis Angelikopoulos, Costas Papadimitriou, and Petros Koumoutsakos Citation: J. Chem. Ph

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Source URL: www.cse-lab.ethz.ch

Language: English - Date: 2012-11-15 12:28:26
194Statistical models / Econometrics / Graphical models / Mediation / Causality / Bayesian inference / Mixed model / Gibbs sampling / Structural equation modeling / Statistics / Regression analysis / Statistical methods

Ecology, 93(8), 2012, pp. 1809–1815 Ó 2012 by the Ecological Society of America A generalized approach to modeling and estimating indirect effects in ecology YANN CLOUGH1

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Source URL: worldcocoafoundation.org

Language: English - Date: 2013-08-05 18:25:57
195Graphical models / Econometrics / Causality / Statistical models / Conditionals / Structural equation modeling / Causal model / Bayesian network / Psychology / Statistics / Science / Knowledge

Development Projects for the Causality Workbench Isabelle Guyon Jean-Philippe Pellet Alexander Statnikov

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Source URL: ai-d.org

Language: English - Date: 2010-04-24 15:52:30
196Statistical inference / Statistical theory / Bayesian inference / Maximum likelihood / Confidence interval / Bayes estimator / Vector autoregression / Parameter / Normal distribution / Statistics / Econometrics / Estimation theory

Franke_Jang_Sacht_Oct2011.pdf

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Source URL: www.econstor.eu

Language: English - Date: 2014-11-17 08:49:09
197Estimation theory / Bayesian statistics / Normal distribution / Maximum likelihood / Variance / Standard deviation / Regression analysis / Parameter / Prior probability / Statistics / Data analysis / Econometrics

Automating network meta-analysis Gert van Valkenhoef Guobing Lu Bert de Brock A. E. Ades Nicky J. Welton

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Source URL: drugis.org

Language: English - Date: 2013-12-04 08:49:45
198Statistical inference / Statistical theory / Bayesian inference / Maximum likelihood / Confidence interval / Bayes estimator / Vector autoregression / Parameter / Normal distribution / Statistics / Econometrics / Estimation theory

Franke_Jang_Sacht_Oct2011.pdf

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Source URL: www.econstor.eu

Language: English - Date: 2014-11-17 08:49:09
199Statistical theory / Philosophy of science / Econometrics / Bayesian probability / Bayes factor / Bayesian inference / Frequentist inference / Prior probability / Confidence interval / Statistics / Bayesian statistics / Statistical inference

RMM Vol. 2, 2011, 67–78 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Andrew Gelman

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Source URL: www.rmm-journal.de

Language: English - Date: 2011-09-28 02:40:05
200Ensemble learning / Econometrics / Model selection / Cross-validation / Bootstrap aggregating / Training set / Linear regression / Random forest / Feature selection / Statistics / Regression analysis / Machine learning

Modeling Hospitalization Outcomes with Random Decision Trees and Bayesian Feature Selection Thomson Van Nguyen† Bhubaneswar Mishra†

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Source URL: ftp.cs.nyu.edu

Language: English - Date: 2011-09-15 16:45:15
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