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 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…
Mehr
CHF 135.45
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
Versandkostenfrei
Produktdetails
Weitere Autoren: Nott, David (Hrsg.) / Smith, Mike S. (Hrsg.) / Dortet-Bernadet, Jean-Luc (Hrsg.)
- ISBN: 978-0-12-815863-0
- EAN: 9780128158630
- Produktnummer: 35965063
- Verlag: Elsevier Science & Techn.
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 302 S.
- Plattform: EPUB
- Masse: 38'768 KB
3 weitere Werke von Yanan (Hrsg.) Fan:
Bewertungen
Anmelden