Matthias Schonlau

Efficient Global Optimization of Expensive Black-Box Functions

Global versus local search in constrained optimization of computer models

Engineering systems are now frequently optimized via computer models.The inputoutput relationships in these models are often highly nonlinear deterministic functions that are ex...

Computer experiments and global optimization

A complex mathematical model that produces output values from input values is now commonly called a computer model. This thesis considers the problem of finding the global optim...

The random forest algorithm for statistical learning

Random forests (Breiman, 2001, Machine Learning 45: 5–32) is a statistical- or machine-learning algorithm for prediction. In this article, we introduce a corresponding new comma...

Will Web Surveys Ever Become Part of Mainstream Research?

This issue contains two interesting papers on Web survey methodology, which reach different conclusions about the potential of Web surveys.Particular attention is directed to re...