Time Series Prediction with Genetic-Algorithm Designed Neural Networks: An Empirical Comparison with Modern Statistical Models. - James V. Hansen; James B. McDonald; Ray D. Nelson (Comput. Intell., 1999)

An application and comparison of some flexible parametric and semiparametric qualitative-response models with heteroskedasticity. - James B. McDonald; James V. Hansen (Int. J. Syst. Sci., 2000)

Some experimental evidence on the performance of GA-designed neural networks. - James V. Hansen; James B. McDonald (J. Exp. Theor. Artif. Intell., 2001)

A Generalized Model for Predictive Data Mining. - James V. Hansen; James B. McDonald (Inf. Syst. Frontiers, 2002)

Partially adaptive robust estimation of regression models and applications. - James V. Hansen; James B. McDonald; Robert S. Turley (Eur. J. Oper. Res., 2006)

Some evidence on forecasting time-series with support vector machines. - James V. Hansen; James B. McDonald; Ray D. Nelson (J. Oper. Res. Soc., 2006)

A Semantic Web data retrieval implementation with an adaptive model for supporting agent decision structures. - James V. Hansen; James B. McDonald; Conan C. Albrecht; Douglas L. Dean; Bonnie Brinton Anderson (Electron. Commer. Res., 2007)

Machine Learning Methods for Detecting Patterns of Management Fraud. - David G. Whiting; James V. Hansen; James B. McDonald; Conan C. Albrecht; W. Steve Albrecht (Comput. Intell., 2012)

Heteroscedasticity and Distributional Assumptions in the Censored Regression Model. - James B. McDonald; Hieu Nguyen (Commun. Stat. Simul. Comput., 2015)

The influence of dispersion on journal impact measures. - William M. Cockriel; James B. McDonald (Scientometrics, 2018)