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