Nicht aus der Schweiz? Besuchen Sie lehmanns.de
An Introduction to Bayesian Analysis - Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta

An Introduction to Bayesian Analysis

Theory and Methods
Buch | Softcover
354 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2006
Springer-Verlag New York Inc.
978-1-4419-2303-5 (ISBN)
CHF 164,75 inkl. MwSt
  • Versand in 10-15 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
Though there are many recent additions to graduate-level introductory books on Bayesian analysis, none has quite our blend of theory, methods, and ap­ plications. We believe a beginning graduate student taking a Bayesian course or just trying to find out what it means to be a Bayesian ought to have some familiarity with all three aspects. More specialization can come later. Each of us has taught a course like this at Indian Statistical Institute or Purdue. In fact, at least partly, the book grew out of those courses. We would also like to refer to the review (Ghosh and Samanta (2002b)) that first made us think of writing a book. The book contains somewhat more material than can be covered in a single semester. We have done this intentionally, so that an instructor has some choice as to what to cover as well as which of the three aspects to emphasize. Such a choice is essential for the instructor. The topics include several results or methods that have not appeared in a graduate text before. In fact, the book can be used also as a second course in Bayesian analysis if the instructor supplies more details. Chapter 1 provides a quick review of classical statistical inference. Some knowledge of this is assumed when we compare different paradigms. Following this, an introduction to Bayesian inference is given in Chapter 2 emphasizing the need for the Bayesian approach to statistics.

Statistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior, and Bayesian Robustness.- Large Sample Methods.- Choice of Priors for Low-dimensional Parameters.- Hypothesis Testing and Model Selection.- Bayesian Computations.- Some Common Problems in Inference.- High-dimensional Problems.- Some Applications.

Erscheint lt. Verlag 19.11.2010
Reihe/Serie Springer Texts in Statistics
Zusatzinfo XIII, 354 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 1-4419-2303-9 / 1441923039
ISBN-13 978-1-4419-2303-5 / 9781441923035
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich

von Jim Sizemore; John Paul Mueller

Buch | Softcover (2024)
Wiley-VCH (Verlag)
CHF 39,20
Eine Einführung in die faszinierende Welt des Zufalls

von Norbert Henze

Buch | Softcover (2024)
Springer Spektrum (Verlag)
CHF 55,95