The random forest algorithm, proposed by L. Breiman in 2001, has been extremely
successful as a general-purpose classification and regression method. The approach, which …

The increasing trend curve of global surface temperature against time since the 19th century
is the icon for the considerable influence humans have on the climate since the …

An ever-increasing share of human interaction, communication, and culture is recorded as
digital text. We provide an introduction to the use of text as an input to economic research …

Abstract Machine learning models are not static and may need to be retrained on slightly
changed datasets, for instance, with the addition or deletion of a set of data points. This has …

We argue word embedding models are a useful tool for the study of culture using a historical
analysis of shared understandings of social class as an empirical case. Word embeddings …

Many scientific and engineering challenges—ranging from personalized medicine to
customized marketing recommendations—require an understanding of treatment effect …

Flood susceptibility projections relying on standalone models, with one-time train-test data
splitting for model calibration, yields biased results. This study proposed novel integrative …

Consistency of random forests Page 1 The Annals of Statistics 2015, Vol. 43, No. 4, 1716–1741
DOI: 10.1214/15-AOS1321 © Institute of Mathematical Statistics, 2015 CONSISTENCY OF …

We study the problem of measuring group differences in choices when the dimensionality of
the choice set is large. We show that standard approaches suffer from a severe finite …

Used to estimate the risk of an estimator or to perform model selection, cross-validation is a
widespread strategy because of its simplicity and its (apparent) universality. Many results …