@article{econhot_econhot-cited-624b7d28bf1e3707, title = {Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)}, author = {Jerome H. Friedman and Trevor Hastie and Robert John Tibshirani}, journal = {The Annals of Statistics}, year = {2000}, volume = {28}, number = {2}, doi = {10.1214/aos/1016218223}, url = {https://doi.org/10.1214/aos/1016218223} } @article{econhot_econhot-cited-cd4793cbadb238ff, title = {Forecasting with artificial neural networks:}, author = {Guoqiang Zhang and B. Eddy Patuwo and Michael Y. Hu}, journal = {International Journal of Forecasting}, year = {1998}, volume = {14}, number = {1}, pages = {35-62}, doi = {10.1016/s0169-2070(97)00044-7}, url = {https://doi.org/10.1016/s0169-2070(97)00044-7} } @article{econhot_econhot-cited-3a377ec6c2999a7a, title = {Recurrent Neural Networks for Time Series Forecasting: Current status and future directions}, author = {Hansika Hewamalage and Christoph Bergmeir and Kasun Bandara}, journal = {International Journal of Forecasting}, year = {2020}, volume = {37}, number = {1}, pages = {388-427}, doi = {10.1016/j.ijforecast.2020.06.008}, url = {https://doi.org/10.1016/j.ijforecast.2020.06.008} } @article{econhot_econhot-cited-b90834278821c3af, title = {Variable Importance Assessment in Regression: Linear Regression versus Random Forest}, author = {Ulrike Grömping}, journal = {The American Statistician}, year = {2009}, volume = {63}, number = {4}, pages = {308-319}, doi = {10.1198/tast.2009.08199}, url = {https://doi.org/10.1198/tast.2009.08199} }