Cantitate/Preț
Produs

Bayesian Non– and Semi–Parametric Methods and Applications: The Econometric and Tinbergen Institutes Lectures

Autor Peter Rossi
en Limba Engleză Hardback – 15 mai 2014

"Peter Rossi, an expert on Bayesian analysis, presents a crisp introduction to an increasingly important class of models and their use in econometric applications."--Andrew Gelman, Columbia University

"This book shows that a combination of the Bayesian paradigm and (infinite) mixtures of normal distributions can be used to construct a very flexible and robust class of semi- or non-parametric methods. Rossi presents these methods in such a way that they can be applied by anyone with a basic knowledge of Bayesian econometrics. The book will be highly valued as a source of inspiration for incorporating non-parametric ideas in Bayesian models and as a reference for many applications of these techniques."--Dennis Fok, Erasmus University Rotterdam

"Rossi shows that the Bayesian approach to statistics can be applied to marketing and microeconometrics data without making the strong 'parametric' assumptions about functional forms and error distribution that are commonly made. The discussion and examples make a good case for the non-parametric Bayesian approach to these problems, and researchers will find it a valuable resource."--Edward Greenberg, professor emeritus, Washington University in St. Louis

Citește tot Restrânge

Din seria The Econometric and Tinbergen Institutes Lectures

Preț: 35116 lei

Nou

Puncte Express: 527

Preț estimativ în valută:
6720 6981$ 5582£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780691145327
ISBN-10: 0691145326
Pagini: 224
Ilustrații: 66 line illus.
Dimensiuni: 139 x 221 x 22 mm
Greutate: 0.41 kg
Editura: Princeton University Press
Seria The Econometric and Tinbergen Institutes Lectures


Notă biografică


Descriere

Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. This book advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals.