The elements of statistical learning: data mining, inference, and prediction T Hastie, R Tibshirani, JH Friedman, JH Friedman springer 2, 1-758, 2009 | 76457 | 2009 |

Classification and regression trees L Breiman Routledge, 2017 | 59552 | 2017 |

Greedy function approximation: a gradient boosting machine JH Friedman Annals of statistics, 1189-1232, 2001 | 22201 | 2001 |

Regularization paths for generalized linear models via coordinate descent J Friedman, T Hastie, R Tibshirani Journal of statistical software 33 (1), 1, 2010 | 15304 | 2010 |

Multivariate adaptive regression splines JH Friedman The annals of statistics 19 (1), 1-67, 1991 | 10627 | 1991 |

The elements of statistical learning: Data mining, inference, and prediction J Friedman, R Tibshirani, T Hastie Springer-Verlag New York, 2009 | 9281 | 2009 |

Structure, function and diversity of the healthy human microbiome nature 486 (7402), 207-214, 2012 | 9115 | 2012 |

Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors) J Friedman, T Hastie, R Tibshirani The annals of statistics 28 (2), 337-407, 2000 | 8933 | 2000 |

Stochastic gradient boosting JH Friedman Computational statistics & data analysis 38 (4), 367-378, 2002 | 7095 | 2002 |

Sparse inverse covariance estimation with the graphical lasso J Friedman, T Hastie, R Tibshirani Biostatistics 9 (3), 432-441, 2008 | 6070 | 2008 |

An algorithm for finding best matches in logarithmic expected time JH Friedman, JL Bentley, RA Finkel ACM Transactions on Mathematical Software (TOMS) 3 (3), 209-226, 1977 | 4016 | 1977 |

Projection pursuit regression JH Friedman, W Stuetzle Journal of the American statistical Association 76 (376), 817-823, 1981 | 3197 | 1981 |

Regularized discriminant analysis JH Friedman Journal of the American statistical association 84 (405), 165-175, 1989 | 3083 | 1989 |

A statistical view of some chemometrics regression tools LLE Frank, JH Friedman Technometrics 35 (2), 109-135, 1993 | 3016 | 1993 |

A projection pursuit algorithm for exploratory data analysis JH Friedman, JW Tukey IEEE Transactions on computers 100 (9), 881-890, 1974 | 2619 | 1974 |

Estimating optimal transformations for multiple regression and correlation L Breiman, JH Friedman Journal of the American statistical Association 80 (391), 580-598, 1985 | 2488 | 1985 |

Pathwise coordinate optimization J Friedman, T Hastie, H Höfling, R Tibshirani | 2449 | 2007 |

Regularization paths for Cox’s proportional hazards model via coordinate descent N Simon, J Friedman, T Hastie, R Tibshirani Journal of statistical software 39 (5), 1, 2011 | 1794 | 2011 |

On bias, variance, 0/1—loss, and the curse-of-dimensionality JH Friedman Data mining and knowledge discovery 1, 55-77, 1997 | 1686 | 1997 |

A sparse-group lasso N Simon, J Friedman, T Hastie, R Tibshirani Journal of computational and graphical statistics 22 (2), 231-245, 2013 | 1464 | 2013 |