| Smooth backfitting in generalized additive models K Yu, BU Park, E Mammen | 115 | 2008 |
| Additive isotone regression E Mammen, K Yu Lecture Notes-Monograph Series, 179-195, 2007 | 58 | 2007 |
| Semi-parametric regression: Efficiency gains from modeling the nonparametric part K Yu, E Mammen, BU Park | 46 | 2011 |
| Nonparametric additive regression for repeatedly measured data RJ Carroll, A Maity, E Mammen, K Yu Biometrika 96 (2), 383-398, 2009 | 35 | 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 | 20 | 2011 |
| Nonparametric estimation of noisy integral equations of the second kind E Mammen, K Yu Journal of the Korean Statistical Society 38, 99-110, 2009 | 16 | 2009 |
| Local likelihood density estimation on random fields YK Lee, H Choi, BU Park, KS Yu Statistics & probability letters 68 (4), 347-357, 2004 | 15 | 2004 |
| 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, 10-31, 2009 | 13 | 2009 |
| Expansion for moments of regression quantiles with applications to nonparametric testing E Mammen, I Van Keilegom, K Yu | 12 | 2019 |
| Efficient semiparametric estimation in generalized partially linear additive models K Yu, YK Lee Journal of the Korean Statistical Society 39, 299-304, 2010 | 12 | 2010 |
| 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 | 11 | 2019 |
| 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 | 9 | 2020 |
| On partial linear additive isotonic regression K Yu Journal of the Korean Statistical Society 43 (1), 11-17, 2014 | 6 | 2014 |
| Nonparametric multiplicative heteroscedasticity in multi-dimensional regression K Yu Journal of the Korean Statistical Society 46 (3), 404-412, 2017 | 3 | 2017 |
| Partial linear regression of compositional data H Han, K Yu Journal of the Korean Statistical Society 51 (4), 1090-1116, 2022 | 2 | 2022 |
| Conditional variance estimation via nonparametric generalized additive models K Yu Journal of the Korean Statistical Society 48 (2), 287-296, 2019 | 2 | 2019 |
| Partially Linear Additive Regression with a General Hilbertian Response S Cho, JM Jeon, D Kim, K Yu, BU Park Journal of the American Statistical Association 119 (546), 942-956, 2024 | 1 | 2024 |
| 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 |
| A comparison study on regression with stationary nonparametric autoregressive errors K Yu The 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 |
