TY  - JOUR
TI  - Double/debiased machine learning for treatment and structural parameters
AU  - Victor Chernozhukov
AU  - Denis Chetverikov
AU  - Mert Demirer
AU  - Esther Duflo
AU  - Christian Hansen
AU  - Whitney Newey
AU  - James Robins
JO  - The Econometrics Journal
PY  - 2018
VL  - 21
IS  - 1
DO  - 10.1111/ectj.12097
UR  - https://doi.org/10.1111/ectj.12097
ER  -


TY  - JOUR
TI  - Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
AU  - Jerome H. Friedman
AU  - Trevor Hastie
AU  - Robert John Tibshirani
JO  - The Annals of Statistics
PY  - 2000
VL  - 28
IS  - 2
DO  - 10.1214/aos/1016218223
UR  - https://doi.org/10.1214/aos/1016218223
ER  -


TY  - JOUR
TI  - Forecasting with artificial neural networks:
AU  - Guoqiang Zhang
AU  - B. Eddy Patuwo
AU  - Michael Y. Hu
JO  - International Journal of Forecasting
PY  - 1998
VL  - 14
IS  - 1
DO  - 10.1016/s0169-2070(97)00044-7
UR  - https://doi.org/10.1016/s0169-2070(97)00044-7
ER  -


TY  - JOUR
TI  - Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
AU  - Stefan Wager
AU  - Susan Carleton Athey
JO  - Journal of the American Statistical Association
PY  - 2017
VL  - 113
IS  - 523
DO  - 10.1080/01621459.2017.1319839
UR  - https://doi.org/10.1080/01621459.2017.1319839
ER  -


TY  - JOUR
TI  - Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
AU  - Hansika Hewamalage
AU  - Christoph Bergmeir
AU  - Kasun Bandara
JO  - International Journal of Forecasting
PY  - 2020
VL  - 37
IS  - 1
DO  - 10.1016/j.ijforecast.2020.06.008
UR  - https://doi.org/10.1016/j.ijforecast.2020.06.008
ER  -


TY  - JOUR
TI  - Variable Importance Assessment in Regression: Linear Regression versus Random Forest
AU  - Ulrike Grömping
JO  - The American Statistician
PY  - 2009
VL  - 63
IS  - 4
DO  - 10.1198/tast.2009.08199
UR  - https://doi.org/10.1198/tast.2009.08199
ER  -