Flexible Bayesian Regression Modelling
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
105,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
30.10.2019
Herausgeber
Yanan Fan + weitereVerlag
Elsevier Science & Techn.Seitenzahl
302 (Printausgabe)
Sprache
Englisch
EAN
9780128158630
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 flexibility in modeling techniques. It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribution (such as quantile regression); and finally models that allow the mean function to be flexible (such as spline models). Each chapter discusses the key aspects of fitting a regression model. R programs accompany the methods.
This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.
- Introduces powerful new nonparametric Bayesian regression techniques to classically trained practitioners
- Focuses on approaches offering both superior power and methodological flexibility
- Supplemented with instructive and relevant R programs within the text
- Covers linear regression, nonlinear regression and quantile regression techniques
- Provides diverse disciplinary case studies for correlation and optimization problems drawn from Bayesian analysis 'in the wild'
This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.
- Introduces powerful new nonparametric Bayesian regression techniques to classically trained practitioners
- Focuses on approaches offering both superior power and methodological flexibility
- Supplemented with instructive and relevant R programs within the text
- Covers linear regression, nonlinear regression and quantile regression techniques
- Provides diverse disciplinary case studies for correlation and optimization problems drawn from Bayesian analysis 'in the wild'
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice