Wiley Series in Computational Statistics

BELSLEY and KONTOGHIORGHES • Handbook of Computational Econometrics

BIEGLER, BIROS, GHATTAS, HEINKENSCHLOSS, KEYES, MALLICK, TENORIO, VAN BLOEMEN WAANDERS, WILLCOX, and MARZOUK • Large-Scale Inverse Problems and Quantification of Uncertainty

BILLARD and DIDAY • Symbolic Data Analysis: Conceptual Statistics and Data Mining

BOLSTAD • Understanding Computational Bayesian Statistics

BORGELT, STEINBRECHER, and KRUSE • Graphical Models: Representations for Learning, Reasoning and Data Mining, Second Edition

DEHMER and BASAK • Statistical and Machine Learning Approaches for Network Analysis

DUNNE • A Statistical Approach to Neural Networks for Pattern Recognition

LIANG, LIU, and CARROLL • Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples

NTZOUFRAS • Bayesian Modeling Using WinBUGS

TUFFERY • Data Mining and Statistics for Decision Making