Fifty years have passed since the publication of the first regression tree algorithm. New
techniques have added capabilities that far surpass those of the early methods. Modern …

Recursive partitioning is embedded into the general and well-established class of
parametric models that can be fitted using M-type estimators (including maximum …

This chapter launches a more detailed examination of statistical learning within a regression
framework. Once again, the focus is on conditional distributions. How does the conditional …

Biodiversity is considered to be an essential element of the Earth system, driving important
ecosystem services. However, the conservation of biodiversity in a quickly changing world is …

Suppose one had a single quantitative response variable and several predictors. There is
interest in y| x. The task is to find the single best predictor. To do this, two kinds of searches …

One of the most important issues in Transhipment Container Terminal (TCT) management is
to have fairly reliable and affordable predictions about vessel arrival. Terminal operators …

An integrated environmental, economic, and health-informed approach was developed as a
decision making framework to assess the associated benefits of enriching the urban …

Model trees with topic model preprocessing: An approach for data journalism illustrated with the
WikiLeaks Afghanistan war logs Page 1 The Annals of Applied Statistics 2013, Vol. 7, No. 2 …

A decade of visual surveys (2005-2014) revealed that humpbacks Megaptera novaeangliae
occupy a temperate fjord system in British Columbia, Canada, in a wave pattern that …

Recursive partitioning algorithms separate a feature space into a set of disjoint rectangles.
Then, usually, a constant in every partition is fitted. While this is a simple and intuitive …