Byeong U. Park

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All published works

Action	Title	Year	Authors
+	Efficient functional Lasso kernel smoothing for high-dimensional additive regression	2024	Eun Ryung Lee Seyoung Park Enno Mammen Byeong U. Park
+	Generalized parametric help in Hilbertian additive regression	2024	Seung Hyun Moon Young Lee Byeong U. Park
+ PDF Chat	Exponential concentration for geometric-median-of-means in non-positive curvature spaces	2023	Ho Hyun Yun Byeong U. Park
+ PDF Chat	Additive regression with parametric help	2023	Hyerim Hong Young Lee Byeong U. Park
+	Hilbertian additive regression with parametric help	2023	Young Lee Enno Mammen Byeong U. Park
+	Partially Linear Additive Regression with a General Hilbertian Response	2022	Sung-Ho Cho Jeong Min Jeon Dong-Woo Kim Kyusang Yu Byeong U. Park
+ PDF Chat	Nonparametric regression on Lie groups with measurement errors	2022	Jeong Min Jeon Byeong U. Park Ingrid Van Keilegom
+	Locally polynomial Hilbertian additive regression	2022	Jeong Min Jeon Young Lee Enno Mammen Byeong U. Park
+	Rejoinder of “Estimation of Hilbertian varying coefficient models”	2022	Young Lee Byeong U. Park Hyerim Hong Dong Woo Kim
+	Estimation of Hilbertian varying coefficient models	2022	Hyerim Hong Dong-Woo Kim Young Lee Byeong U. Park
+	Exponential Concentration for Geometric-Median-of-Means in Non-Positive Curvature Spaces	2022	Ho Hyun Yun Byeong U. Park
+ PDF Chat	Additive regression for non-Euclidean responses and predictors	2021	Jeong Min Jeon Byeong U. Park Ingrid Van Keilegom
+	Bias reduction by projection on parametric models in Hilbertian nonparametric regression	2021	Y. K. Lee Han Hong Daehyuk Kim Byeong U. Park
+ PDF Chat	Additive regression for predictors of various natures and possibly incomplete Hilbertian responses	2021	Jeong Min Jeon Byeong U. Park Ingrid Van Keilegom
+	Intrinsic Hölder classes of density functions on Riemannian manifolds and lower bounds to convergence rates	2020	Dohyeong Ki Byeong U. Park
+ PDF Chat	Additive regression with Hilbertian responses	2020	Jeong Min Jeon Byeong U. Park
+ PDF Chat	Principal component analysis for Hilbertian functional data	2020	Dongwoo Kim Young Kyung Lee Byeong U. Park
+	Smooth backfitting for errors-in-variables varying coefficient regression models	2020	Kyunghee Han Young Lee Byeong U. Park
+ PDF Chat	Nonparametric regression with parametric help	2020	Young Lee Enno Mammen Jens Perch Nielsen Byeong U. Park
+	Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups	2020	Zhenhua Lin Hans‐Georg Müller Byeong U. Park
+ PDF Chat	Additive Functional Regression for Densities as Responses	2019	Kyunghee Han Hans‐Georg Müller Byeong U. Park
+ PDF Chat	Smooth backfitting for errors-in-variables additive models	2018	Kyunghee Han Byeong U. Park
+	Kernel excess mass test for multimodality	2018	Seon-Mi Lee Woncheol Jang Byeong U. Park
+	Time-dynamic varying coefficient models for longitudinal data	2018	Kyeongeun Lee Young Lee Byeong U. Park Seong J. Yang
+	Singular Additive Models for Function to Function Regression	2018	Byeong U. Park Chun-Jui Chen Wenwen Tao Hans‐Georg Müller
+ PDF Chat	Smooth backfitting for additive modeling with small errors-in-variables, with an application to additive functional regression for multiple predictor functions	2017	Kyunghee Han Hans‐Georg Müller Byeong U. Park
+	Operational time and in-sample density forecasting	2017	Young Lee Enno Mammen Jens Perch Nielsen Byeong U. Park
+	Nonparametric estimation of dynamic discrete choice models for time series data	2016	Byeong U. Park Léopold Simar Valentin Zelenyuk
+	Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data	2016	Byeong U. Park Léopold Simar Valentin Zelenyuk
+	Asymptotics for in-sample density forecasting	2015	Young Kyung Lee Enno Mammen Jens Perch Nielsen Byeong U. Park
+ PDF Chat	Data Envelope Fitting with Constrained Polynomial Splines	2014	Abdelaati Daouia Hohsuk Noh Byeong U. Park
+	Rejoinder	2014	Byeong U. Park Enno Mammen Young Lee Eun Ryung Lee
+	Efficient estimation for partially linear varying coefficient models when coefficient functions have different smoothing variables	2014	Seong J. Yang Byeong U. Park
+	Additive Models	2014	Jeffrey S. Racine Liangjun Su Aman Ullah Enno Mammen Byeong U. Park Melanie Schienle
+	Varying Coefficient Regression Models: A Review and New Developments	2013	Byeong U. Park Enno Mammen Young Lee Eun Ryung Lee
+	Data envelope fitting with constrained polynomial splines	2013	Abdelaati Daouia Hohsuk Noh Byeong U. Park
+	Model Selection via Bayesian Information Criterion for Quantile Regression Models	2013	Eun Ryung Lee Hohsuk Noh Byeong U. Park
+ PDF Chat	Backfitting and smooth backfitting in varying coefficient quantile regression	2013	Young Lee Enno Mammen Byeong U. Park
+	Time-Varying Additive Models for Longitudinal Data	2013	Xiaoke Zhang Byeong U. Park Jane-ling Wang
+ PDF Chat	On Projection‐type Estimators of Multivariate Isotonic Functions	2012	Abdelaati Daouia Byeong U. Park
+	Backfitting and smooth backfitting for additive quantile models	2012	Young Lee Enno Mammen Byeong U. Park
+	Flexible generalized varying coefficient regression models	2012	Young Lee Enno Mammen Byeong U. Park
+ PDF Chat	Projection-type estimation for varying coefficient regression models	2012	Young Lee Enno Mammen Byeong U. Park
+	Sparse estimation in functional linear regression	2011	Eun Ryung Lee Byeong U. Park
+ PDF Chat	Semi-parametric regression: Efficiency gains from modeling the nonparametric part	2011	Kyusang Yu Enno Mammen Byeong U. Park
+	Testing in nonparametric varying coefficient additive models	2011	Byeong U. Park Jun Hyun Hwang Min S. Park
+	On Convex Boundary Estimation	2011	Seok‐Oh Jeong Byeong U. Park
+	Local maximum likelihood techniques with categorical data	2010	Byeong U. Park Léopold Simar Valentin Zelenyuk
+ PDF Chat	Backfitting and smooth backfitting for additive quantile models	2010	Young Lee Enno Mammen Byeong U. Park
+ PDF Chat	Asymptotic distribution of conical-hull estimators of directional edges	2010	Byeong U. Park Seok‐Oh Jeong Léopold Simar
+	SPARSE VARYING COEFFICIENT MODELS FOR LONGITUDINAL DATA	2010	Hoh Suk Noh Byeong U. Park
+	Bandwidth selection for kernel regression with correlated errors	2009	Young Kyung Lee Enno Mammen Byeong U. Park
+ PDF Chat	Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues	2009	Peter Hall Young Kyung Lee Byeong U. Park Debashis Paul
+	Using bimodal kernel for inference in nonparametric regression with correlated errors	2009	Tae Yoon Kim Byeong U. Park Myung Sang Moon Chiho Kim
+ PDF Chat	Choice of neighbor order in nearest-neighbor classification	2008	Peter Hall Byeong U. Park Richard J. Samworth
+ PDF Chat	Local likelihood estimation of truncated regression and its partial derivatives: Theory and application	2008	Byeong U. Park Léopold Simar Valentin Zelenyuk
+	Local Likelihood Estimation of Truncated Regression and Its Partial Derivatives: Theory and Application	2008	Byeong U. Park Léopold Simar Valentin Zelenyuk
+ PDF Chat	Smooth backfitting in generalized additive models	2008	Kyusang Yu Byeong U. Park Enno Mammen
+	A simple and effective bandwidth selector for local polynomial quasi-likelihood regression	2007	Young Kyung Lee Byeong U. Park Min Su Park
+	LOCAL POLYNOMIAL QUASI-LIKELIHOOD REGRESSION ON RANDOM FIELDS	2006	Hye-Jeong Choi Y. K. Lee Byeong U. Park Kyusang Yu
+ PDF Chat	A simple smooth backfitting method for additive models	2006	Enno Mammen Byeong U. Park
+ PDF Chat	Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration	2006	Lijian Yang Byeong U. Park Lan Xue Wolfgang Karl Härdle
+	Conditional quantile estimation by local logistic regression	2006	Young Lee Eun Ryung Lee Byeong U. Park
+	Nonparametric Estimation of Production Efficiency	2006	Byeong U. Park Seok‐Oh Jeong Young Lee
+	A Simple Estimator of Error Correlation in Non‐parametric Regression Models	2006	Byeong U. Park Young Kyung Lee Tae Yoon Kim Cheolyong Park
+	Estimation of Kullback–Leibler Divergence by Local Likelihood	2006	Young Lee Byeong U. Park
+	Large Sample Approximation of the Distribution for Convex-Hull Estimators of Boundaries	2006	Seok‐Oh Jeong Byeong U. Park
+	Non-parametric hazard function estimation using the Kaplan–Meier estimator	2005	Choongrak Kim Whasoo Bae Hyemi Choi Byeong U. Park
+ PDF Chat	Bandwidth selection for smooth backfitting in additive models	2005	Enno Mammen Byeong U. Park
+ PDF Chat	Estimation and Testing for Varying Coefficients in Additive Models with Marginal Integration	2005	Lijian Yang Byeong U. Park Lan Xue Wolfgang Karl Härdle
+	On local likelihood density estimation when the bandwidth is large	2004	Byeong U. Park Young Lee Tae Yoon Kim Cheolyong Park Shinto Eguchi
+	Nonparametric detection of correlated errors	2004	Tae-Yoon Kim Donghoh Kim Byeong U. Park Douglas G. Simpson
+	Limit Distribution of Convex-Hull Estimators of Boundaries	2004	Seok‐Oh Jeong Byeong U. Park
+	Bandwidth choice for local polynomial estimation of smooth boundaries	2003	Peter Hall Byeong U. Park
+	Local likelihood method: a bridge over parametric and nonparametric regression	2003	Shinto Eguchi Tae Yoon Kim Byeong U. Park
+	Bezier curve smoothing of the Kaplan-Meier estimator	2003	Choongrak Kim Byeong U. Park Woochul Kim Chiyon Lim
+	Skewing and Generalized Jackknifing in Kernel Density Estimation	2003	Choongrak Kim Woochul Kim Byeong U. Park
+	Adaptive variable location kernel density estimators with good performance at boundaries	2003	Byeong U. Park Seok‐Oh Jeong M. C. Jones Kee‐Hoon Kang
+	Influence diagnostics in semiparametric regression models	2002	Choongrak Kim Byeong U. Park Woochul Kim
+ PDF Chat	New methods for bias correction at endpoints and boundaries	2002	Peter Hall Byeong U. Park
+	Estimation and testing for varying coefficients in additive models with marginal integration	2002	Lijian Yang Byeong U. Park Lan Xue Wolfgang Karl Härdle
+	Cook's distance in local polynomial regression	2001	Choongrak Kim Yonjoo Lee Byeong U. Park
+	On estimating the slope of increasing boundaries	2001	Byeong U. Park
+	Higher order kernels in adaptive location estimation<sup>∗</sup>	2000	K. H. Kang W. C. Kim Byeong U. Park
+	Variable bandwidth in nonparametric regression<sup>∗</sup>	1999	W. C. Kim Byeong U. Park Y. K. Lee
+	Smoothing techniques via the bezier curve	1999	Choongrak Kim Woochul Kim Byeong U. Park Changkon Hong Meeseon Jeong
+	On Polynomial Estimators of Frontiers and Boundaries	1998	Peter Hall Byeong U. Park Steven Stern
+	Miscellanea. A note on design transformation and binning in nonparametric curve estimation	1998	Peter A. Hall Byeong U. Park Berwin A. Turlach
+	Simple Transformation Techniques for Improved Non‐parametric Regression	1997	Byeong U. Park W. C. Kim David Ruppert M. C. Jones D. F. Signorini Robert Kohn
+	On Bias Reduction Methods in Nonparametric Regression Estimation	1997	W. C. Kim Byeong U. Park K. H. Kang
+	B-Spline deconvolution based on the Em algorithm	1996	Ja‐Yong Koo Byeong U. Park
+	Behaviour of kernel density estimates and bandwidth selectors for contaminated data sets	1996	Enno Mammen Byeong U. Park
+ PDF Chat	BIASED CROSS-VALIDATION IN A KERNEL REGRESSION ESTIMATION	1995	Jong Chul Oh Byung Chun Kim Jee Soo Lee Byeong U. Park
+	Optimal Smoothing in Adaptive Location Estimation	1995	Enno Mammen Byeong U. Park
+	Versions of Kernel-Type Regression Estimators	1994	M. C. Jones S. J. Davies Byeong U. Park
+	A Cross-Validatory Choice of Smoothing Parameter in Adaptive Location Estimation	1993	Byeong U. Park
+	An empirical investigation of the shifted power transformation method in density estimation	1992	Byeong U. Park Sung Suk Chung Kyung H. Seog
+ PDF Chat	Smoothed cross-validation	1992	Peter Hall J. S. Marron Byeong U. Park
+	On the use of pilot estimators in bandwidth selection	1992	Byeong U. Park J. S. Marron
+	Estimation of integrated squared spectral density derivatives	1991	Byeong U. Park Sinsup Cho
+	Comparison of Data-Driven Bandwidth Selectors	1990	Byeong U. Park J. S. Marron
+	Comparison of Data-Driven Bandwidth Selectors	1990	Byeong U. Park J. S. Marron
+	Asymptotically efficient estimators of location and scale parameters in the two-sample semiparametric location-scale model	1987	Byeong U. Park
+	Local asymptotic normality for independent not identically distributed observations in semiparametric models	1987	Byeong U. Park

Common Coauthors

Coauthor	Papers Together
Enno Mammen	21
Young Lee	21
Seok‐Oh Jeong	6
Jeong Min Jeon	6
Eun Ryung Lee	6
Léopold Simar	6
Young Kyung Lee	5
Valentin Zelenyuk	5
Woochul Kim	4
Tae Yoon Kim	4
Hans‐Georg Müller	4
Kyunghee Han	4
Kyusang Yu	4
W. C. Kim	4
Wolfgang Karl Härdle	3
Hohsuk Noh	3
Lan Xue	3
Choongrak Kim	3
Peter Hall	3
Ingrid Van Keilegom	3
Choongrak Kim	3
Lijian Yang	3
Jens Perch Nielsen	3
M. C. Jones	3
Hyerim Hong	3
J. S. Marron	3
Dong-Woo Kim	2
Y. K. Lee	2
Shinto Eguchi	2
Abdelaati Daouia	2
Peter Hall	2
K. H. Kang	2
Cheolyong Park	2
Ho Hyun Yun	2
Seong J. Yang	2
Young Kyung Lee	1
Aman Ullah	1
Jee Soo Lee	1
Hye-Jeong Choi	1
Sung-Ho Cho	1
Byung Chun Kim	1
Hyemi Choi	1
Min Su Park	1
Jun Hyun Hwang	1
Ja‐Yong Koo	1
Min S. Park	1
Myung Sang Moon	1
Peter Hall	1
Jeffrey S. Racine	1
Abdelaati Daouia	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The existence and asymptotic properties of a backfitting projection algorithm under weak conditions	1999	Enno Mammen Oliver Linton Jens Perch Nielsen	28
+ PDF Chat	Smooth backfitting in generalized additive models	2008	Kyusang Yu Byeong U. Park Enno Mammen	26
+	Time-Varying Additive Models for Longitudinal Data	2013	Xiaoke Zhang Byeong U. Park Jane-ling Wang	12
+ PDF Chat	Linear Smoothers and Additive Models	1989	Andreas Buja Trevor Hastie Robert Tibshirani	11
+	Varying-Coefficient Models	1993	Trevor Hastie Robert Tibshirani	11
+	Comparison of Data-Driven Bandwidth Selectors	1990	Byeong U. Park J. S. Marron	10
+ PDF Chat	Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions	1995	Jianqing Fan Nancy Heckman M. P. Wand	10
+ PDF Chat	Additive regression with Hilbertian responses	2020	Jeong Min Jeon Byeong U. Park	10
+ PDF Chat	Projection-type estimation for varying coefficient regression models	2012	Young Lee Enno Mammen Byeong U. Park	10
+ PDF Chat	Backfitting and smooth backfitting for additive quantile models	2010	Young Lee Enno Mammen Byeong U. Park	9
+	Flexible generalized varying coefficient regression models	2012	Young Lee Enno Mammen Byeong U. Park	9
+	Smooth Backfitting in Practice	2004	Jens Perch Nielsen Stefan Sperlich	9
+ PDF Chat	Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration	2006	Lijian Yang Byeong U. Park Lan Xue Wolfgang Karl Härdle	9
+	On Polynomial Estimators of Frontiers and Boundaries	1998	Peter Hall Byeong U. Park Steven Stern	8
+ PDF Chat	Additive Regression and Other Nonparametric Models	1985	Charles J. Stone	8
+ PDF Chat	Smooth backfitting for errors-in-variables additive models	2018	Kyunghee Han Byeong U. Park	8
+ PDF Chat	A simple smooth backfitting method for additive models	2006	Enno Mammen Byeong U. Park	8
+ PDF Chat	Bandwidth selection for smooth backfitting in additive models	2005	Enno Mammen Byeong U. Park	8
+	Asymptotic Properties of Backfitting Estimators	2000	Jean D. Opsomer	8
+	Estimation of Non-sharp Support Boundaries	1995	Wolfgang Karl Härdle Byeong-Uk Park A. B. Tsybakov	8
+ PDF Chat	Efficient Estimation of Monotone Boundaries	1995	A. P. Korostelev Léopold Simar A. B. Tsybakov	7
+	A Kernel Method of Estimating Structured Nonparametric Regression Based on Marginal Integration	1995	Oliver Linton Jens Perch Nielsen	7
+ PDF Chat	Efficient Estimation and Inferences for Varying-Coefficient Models	2000	Zongwu Cai Jianqing Fan Runze Li	7
+ PDF Chat	Nonparametric Density Estimation with a Parametric Start	1995	Nils Lid Hjort Ingrid K. Glad	7
+	Linear Processes in Function Spaces	2000	Denis Bosq	7
+	How Far are Automatically Chosen Regression Smoothing Parameters from their Optimum?	1988	Wolfgang Karl Härdle Peter Hall J. S. Marron	7
+ PDF Chat	Smooth backfitting for additive modeling with small errors-in-variables, with an application to additive functional regression for multiple predictor functions	2017	Kyunghee Han Hans‐Georg Müller Byeong U. Park	6
+	Efficient and Adaptive Estimation for Semiparametric Models.	1994	ХРИСТОФОРОВ А.А. Peter J. Bickel Chris A. J. Klaassen Ya’acov Ritov Jon A. Wellner	6
+	Local nonlinear least squares: Using parametric information in nonparametric regression	2000	Pedro Gozalo Oliver Linton	6
+ PDF Chat	On local likelihood density estimation	2002	B. U. Park WonJeong Kim M. C. Jones	6
+ PDF Chat	Estimation of a semiparametric transformation model	2008	Oliver B. Linton Stefan Sperlich Ingrid Van Keilegom	6
+	Empirical Processes in M-Estimation	2001	S. Rao Jammalamadaka	6
+ PDF Chat	Local quasi-likelihood with a parametric guide	2009	Jianqing Fan Yichao Wu Yang Feng	6
+ PDF Chat	Additive regression for non-Euclidean responses and predictors	2021	Jeong Min Jeon Byeong U. Park Ingrid Van Keilegom	6
+ PDF Chat	Functional-Coefficient Regression Models for Nonlinear Time Series	2000	Zongwu Cai Jianqing Fan Qiwei Yao	6
+	Generalised structured models	2003	Enno Mammen	6
+ PDF Chat	Additive Functional Regression for Densities as Responses	2019	Kyunghee Han Hans‐Georg Müller Byeong U. Park	6
+	Density Estimation for Statistics and Data Analysis	1400		6
+ PDF Chat	Local Linear Regression Smoothers and Their Minimax Efficiencies	1993	Jianqing Fan	5
+	Kernel estimation of regression functions	1979	Théo Gasser Hans‐Georg Müller	5
+ PDF Chat	Direct estimation of low-dimensional components in additive models	1998	Jianqing Fan Wolfgang Karl Härdle Enno Mammen	5
+ PDF Chat	Feasible estimation in generalized structured models	2009	Javier Roca‐Pardiñas Stefan Sperlich	5
+	Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data	1998	Donald R. Hoover John A. Rice Colin O. Wu Liping Yang	5
+ PDF Chat	Locally parametric nonparametric density estimation	1996	Nils Lid Hjort M. C. Jones	5
+ PDF Chat	Parametrically Guided Non‐parametric Regression	1998	Ingrid K. Glad	5
+ PDF Chat	Profile Likelihood and Conditionally Parametric Models	1992	Thomas A. Severini Wing Hung Wong	5
+ PDF Chat	Variable Bandwidth and Local Linear Regression Smoothers	1992	Jianqing Fan Irène Gijbels	5
+ PDF Chat	Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation	1987	Peter Hall J. S. Marron	5
+ PDF Chat	Parametrically guided nonparametric density and hazard estimation with censored data	2015	Majda Talamakrouni Ingrid Van Keilegom Anouar El Ghouch	5
+	An Effective Bandwidth Selector for Local Least Squares Regression	1995	David Ruppert Simon J. Sheather M. P. Wand	5