Bayesian Methods for Nonlinear Classification and Regression

"The exercises and the excellent presentation style make this book qualified t be a textbook in a graduate level nonlinear regression course." ( Journal of Statistical Computation and Simulation , July 2005)
"Its in-depth coverage of implementation issues and detailed discussion of pros and cons of different modeling strategies make it attractive for many researchers." ( Technometrics , May 2004)

"...a fascinating account of a rapidly evolving area of statistics..." ( Short Book Reviews , December 2002)

"...will benefit researchers...also suitable for graduate students..." ( Mathematical Reviews , 2003m)