Bayesian Model Comparison

Business & Finance, Economics, Econometrics, Nonfiction, Social & Cultural Studies, Political Science, Politics, Economic Policy
Cover of the book Bayesian Model Comparison by , Emerald Group Publishing Limited
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781784411848
Publisher: Emerald Group Publishing Limited Publication: November 21, 2014
Imprint: Emerald Group Publishing Limited Language: English
Author:
ISBN: 9781784411848
Publisher: Emerald Group Publishing Limited
Publication: November 21, 2014
Imprint: Emerald Group Publishing Limited
Language: English

The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.

More books from Emerald Group Publishing Limited

Cover of the book Seeding Success in Indigenous Australian Higher Education by
Cover of the book Configurational Theory and Methods in Organizational Research by
Cover of the book Sustainable Aviation Futures by
Cover of the book Disability and Intersecting Statuses by
Cover of the book Motivational Interventions by
Cover of the book Qualitative Research on Sport and Physical Culture by
Cover of the book Special Education International Perspectives by
Cover of the book The Role of Demographics in Occupational Stress and Well Being by
Cover of the book Effective Teaching for Managers by
Cover of the book Biosociology and Neurosociology by
Cover of the book Leading In Health Care Organizations by
Cover of the book Paradoxes of the Democratization of Higher Education by
Cover of the book New Directions in Children's and Adolescents' Information Behavior Research by
Cover of the book Deep Knowledge of B2B Relationships Within and Across Borders by
Cover of the book Research in Organizational Change and Development by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy