Smooth backfitting in generalized additive models K Yu, BU Park, E Mammen The Annals of Statistics 36 (1), 228-260, 2008 | 81 | 2008 |

Additive isotone regression E Mammen, K Yu Asymptotics: particles, processes and inverse problems, 179-195, 2007 | 47 | 2007 |

Semi-parametric regression: Efficiency gains from modeling the nonparametric part K Yu, E Mammen, BU Park Bernoulli 17 (2), 736-748, 2011 | 28 | 2011 |

Nonparametric additive regression for repeatedly measured data RJ Carroll, A Maity, E Mammen, K Yu Biometrika 96 (2), 383-398, 2009 | 24 | 2009 |

Non‐parametric models in binary choice fixed effects panel data S Hoderlein, E Mammen, K Yu The Econometrics Journal 14 (3), 351-367, 2011 | 15 | 2011 |

Nonparametric estimation of noisy integral equations of the second kind E Mammen, K Yu Journal of the Korean Statistical Society 38 (2), 99-110, 2009 | 13 | 2009 |

Efficient semiparametric marginal estimation for the partially linear additive model for longitudinal/clustered data R Carroll, A Maity, E Mammen, K Yu Statistics in biosciences 1 (1), 10-31, 2009 | 13 | 2009 |

Local likelihood density estimation on random fields YK Lee, H Choi, BU Park, KS Yu Statistics & probability letters 68 (4), 347-357, 2004 | 13 | 2004 |

Expansion for moments of regression quantiles with application to nonparametric testing E Mammen, I Van Keilegom, K Yu arXiv preprint arXiv:1306.6179, 2013 | 11 | 2013 |

Efficient semiparametric estimation in generalized partially linear additive models K Yu, YK Lee Journal of the Korean Statistical Society 39 (3), 299-304, 2010 | 8 | 2010 |

A nonparametric approach to identify age, time, and cohort effects D Antonczyk, B Fitzenberger, E Mammen, K Yu Journal of Statistical Planning and Inference 204, 96-115, 2020 | 6 | 2020 |

On partial linear additive isotonic regression K Yu Journal of the Korean Statistical Society 43 (1), 11-17, 2014 | 3 | 2014 |

A systematic review on model selection in high-dimensional regression ER Lee, J Cho, K Yu Journal of the Korean Statistical Society 48 (1), 1-12, 2019 | 2 | 2019 |

Nonparametric multiplicative heteroscedasticity in multi-dimensional regression K Yu Journal of the Korean Statistical Society 46 (3), 404-412, 2017 | 1 | 2017 |

LOCAL POLYNOMIAL QUASI‐LIKELIHOOD REGRESSION ON RANDOM FIELDS H Choi, YK Lee, BU Park, KS Yu Australian & New Zealand Journal of Statistics 48 (4), 491-506, 2006 | 1 | 2006 |

Conditional variance estimation via nonparametric generalized additive models K Yu Journal of the Korean Statistical Society 48 (2), 287-296, 2019 | | 2019 |

A comparison study on regression with stationary nonparametric autoregressive errors K Yu Korean Journal of Applied Statistics 29 (1), 157-169, 2016 | | 2016 |

Nonparametric additive regression for repeatedly measured data 549: Y RJ Carroll, A Maity, E Mammen, K Yu Quality Control and Applied Statistics 55 (5), 525, 2010 | | 2010 |

A nonparametric additive model identifying age, time, and cohorteffects D Antonczyk, B Fitzenberger, E Mammen, K Yu | | 2009 |

Rejoinder: Nonparametric estimation of noisy integral equations of the second kind E Mammen, K Yu Journal of the Korean Statistical Society 2 (38), 123-124, 2009 | | 2009 |