Flexible Bayesian regression modelling /

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flex...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Fan, Y. (Yanan) (Editor ), Nott, David (Editor ), Smith, Mike S. (Editor ), Dortet-Bernadet, Jean-Luc (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, CA, United States : Academic Press, [2020]
Temas:
Regression analysis > Mathematical models.
Bayesian statistical decision theory.
Th�eorie de la d�ecision bay�esienne.
Bayesian statistical decision theory
Regression analysis > Mathematical models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contributors
  • Preface
  • 1. Bayesian quantile regression with the asymmetric Laplace distribution
  • 2. A vignette on model-based quantile regression: analyzing excess-zero response
  • 3. Bayesian nonparametric density regression for ordinal responses
  • 4. Non-standard flexible regression via variational Bayes
  • 5. Bayesian mixed binary-continuous copula regression with an application to childhood undernutrition
  • 6. Bayesian nonparametric methods for financial and microeconomic time series analysis
  • 7. Bayesian spectral analysis regression
  • 8. Flexible regression modelling under shape constraints
  • 9. Scalable Bayesian variable selection for a negative binomial regression models
  • Index.

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