Bayesian Core: A Practical Approach to Computational Bayesian Statistics
A Practical Approach to Computational Bayesian Statistics
Seiten
2010
|
1st ed. Softcover of orig. ed. 2007
Springer-Verlag New York Inc.
978-1-4419-2286-1 (ISBN)
Springer-Verlag New York Inc.
978-1-4419-2286-1 (ISBN)
- Titel ist leider vergriffen;
keine Neuauflage - Artikel merken
This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models and is backed up by discussed real datasets available from the book website.
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.
User's manual.- Normal models.- Regression and variable selection.- Generalised linear models.- Capture-recapture experiments.- Mixture models.- Dynamic models.- Image analysis.
Erscheint lt. Verlag | 25.11.2010 |
---|---|
Reihe/Serie | Springer Texts in Statistics |
Zusatzinfo | 80 black & white illustrations, biography |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 421 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Mathematik / Informatik ► Mathematik ► Analysis | |
Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
Mathematik / Informatik ► Mathematik ► Statistik | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Technik | |
ISBN-10 | 1-4419-2286-5 / 1441922865 |
ISBN-13 | 978-1-4419-2286-1 / 9781441922861 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Modelle für 3D-Druck und CNC entwerfen
Buch | Softcover (2022)
dpunkt (Verlag)
34,90 €
alles zum Drucken, Scannen, Modellieren
Buch | Softcover (2024)
Markt + Technik Verlag
24,95 €