Bayesian econometrics

Results: 430



#Item
261Estimation theory / Statistical inference / Bayesian statistics / Bayesian VAR / Regression analysis / Linear regression / Interval estimation / Bayesian inference / Regularization / Statistics / Econometrics / Statistical theory

Sunday, 15 June 2014 Poster Session Room: Campus Center Ballroom Poster (Presenter Last Name: A-I)

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Source URL: manoa.hawaii.edu

Language: English - Date: 2014-06-09 16:51:15
262Econometrics / Mathematics / Regression analysis / Discrete wavelet transform / Empirical Bayes method / Statistics / Mathematical analysis / Wavelets

BHMSMAfMRI User Manual Nilotpal Sanyal Bayesian and Interdisciplinary Research Unit Indian Statistical Institute, Calcutta, India nsanyal [removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-08-04 08:19:41
263Estimation theory / Regression analysis / Robust statistics / Bayesian VAR / Linear regression / Regularization / Interval estimation / Bayesian inference / Non-parametric statistics / Statistics / Econometrics / Statistical inference

Scientific Schedule and Abstracts WNAR/IMS Conference University of Hawai’i at M¯ anoa, June 15-18, [removed]

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Source URL: manoa.hawaii.edu

Language: English - Date: 2014-06-09 16:47:16
264Software project management / COCOMO / Software development effort estimation / Cost estimation in software engineering / Linear regression / Akaike information criterion / Least squares / Estimation theory / Barry Boehm / Statistics / Regression analysis / Econometrics

A Bayesian Software Estimating Model Using a Generalized g-Prior Approach Sunita Chulani Research Assistant Center for Software Engineering University of Southern California

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Source URL: sunset.usc.edu

Language: English - Date: 2000-04-06 05:33:13
265Software project management / Econometrics / COCOMO / Software metrics / Software development effort estimation / Cost estimation in software engineering / Barry Boehm / Estimation / Source lines of code / Statistics / Project management / Software development

Incorporating Bayesian Analysis to Improve the Accuracy of COCOMO II and Its Quality Model Extension by Sunita Devnani-Chulani

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Source URL: sunset.usc.edu

Language: English - Date: 2000-04-06 05:50:20
266Econometrics / Estimation theory / Parametric statistics / Linear regression / Ordinary least squares / Cross-validation / Statistical power / Statistical classification / Multivariate adaptive regression splines / Statistics / Regression analysis / Machine learning

Package ‘bartMachine’ September 5, 2014 Type Package Title Bayesian Additive Regression Trees Version[removed]Date[removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-09-05 16:15:52
267Bayesian statistics / Econometrics / M-estimators / Maximum likelihood / Bayes estimator / Expectation–maximization algorithm / Loss function / Likelihood function / Supervised learning / Statistics / Estimation theory / Statistical theory

Minimum Risk Annealing for Training Log-Linear Models∗ David A. Smith and Jason Eisner Department of Computer Science Center for Language and Speech Processing Johns Hopkins University Baltimore, MD 21218, USA

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Source URL: www.ccs.neu.edu

Language: English - Date: 2006-06-12 12:15:34
268Decision trees / Regression analysis / Model selection / Linear regression / Random forest / Gibbs sampling / Decision tree learning / Cross-validation / Statistics / Machine learning / Econometrics

bartMachine: Machine Learning with Bayesian Additive Regression Trees Adam Kapelner Justin Bleich

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Source URL: cran.r-project.org

Language: English - Date: 2014-09-05 16:15:52
269Philosophy of science / Statistical methods / Econometrics / Statistical inference / Bayesian inference / LD / Regression analysis / Statistics / Statistical theory / Bayesian statistics

Curriculum Vitae: Lyle Broemeling

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Source URL: www.fda.gov

Language: English
270Actuarial science / Bayesian statistics / Prior probability / Variance / Statistics / Regression analysis / Econometrics

WINBUGS CODE # model_mvparpool is the multilevel regression # By varying the alpha and beta and tau (variance) within each site with non informative priors, Bugs fits regression on Y using X # Further, the betas are inf

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Source URL: water.columbia.edu

Language: English - Date: 2012-05-22 11:51:47
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