Model Selection and Model Averaging

Explore the essential guide to statistical modeling with Model Selection and Model Averaging by Gerda Claeskens. Published by Cambridge University Press in 2008, this hardback edition spans 332 pages and serves as a comprehensive resource for understanding model selection within Bayesian statistical decision theory.

This groundbreaking book synthesizes research and practical applications from a dynamic field, making it an invaluable asset for statisticians and researchers alike. Delve into various model choice criteria, including AIC, BIC, DIC, and FIC, as they are clearly explained, discussed, and compared. With real-data examples and engaging exercises, readers will gain hands-on experience and confidence in applying these methods to their own research.

Perfect for anyone interested in mathematical statistics and model research, Claeskens' work is a must-have for enhancing your statistical toolkit.