Watson, Blesch, Kapar, & Wright

Wager, S. and Athey, S. (2018). Estimation and inference
of heterogeneous treatment effects using random forests.
J. Am. Stat. Assoc., 113(523):1228–1242.

Wager, S. and Walther, G. (2015). Adaptive concentration
of regression trees, with application to random forests.
arXiv preprint, 1503.06388.

Wand, M. and Jones, M. (1994). Kernel Smoothing. Chap-

man & Hall, Boca Raton, FL.

Weierstrass, K. (1895). Über continuirliche Functionen
eines reellen Arguments, die für keinen Werth des let-
zeren einen bestimmten Differentialquotienten besitzen.
In Mathematische Werke von Karl Weierstrass, pages
71–74. Mayer & Mueller, Berlin.

Wen, H. and Hang, H. (2022). Random forest density estima-
tion. In Proceedings of the 39th International Conference
on Machine Learning, pages 23701–23722.

Worldline and the ML Group of ULB (2013). Credit card

fraud detection data. license: Open database.
Adversarial Random Forests for Density Estimation and Generative Modeling