Byeong U. Park - Concepedia

Author

Byeong U. Park

Also Known As

B. U. PARK, B. U. Park, B.U. Park, BYEONG U. PARK, Byeong U Park, Byeong U. Park, Härdle, Wolfgang, Mammen, Enno, Park, Byeong U., Park, Byeong u.

145

Publications

4.6K

Citations

H-Index

Concepts

All Affiliations

Seoul National University UCLouvain Australian National University Kangwon National University Pusan National University

About

Byeong U. Park is an author at Seoul National University specializing in statistics, engineering, and statistical inference.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	44	2.9K
2	Business	12	12	1.1K
3	Natural Sciences	2	2	52
4	Management	1	1	331
5	Medicine	1	1	16

Byeong U. Park

Publications

4.3K

Citations

H-Index

Page 1

	Year	Citations
Comparison of Data-Driven Bandwidth Selectors Byeong U. Park, J. S. Marron Journal of the American Statistical Association EngineeringPlug-in BandwidthData-driven Bandwidth SelectorsData ScienceUnderlying Density	1990	482
A NOTE ON THE CONVERGENCE OF NONPARAMETRIC DEA ESTIMATORS FOR PRODUCTION EFFICIENCY SCORES Aloïs Kneip, Byeong U. Park, Léopold Simar Econometric Theory Resource ProductivityResource EfficiencyApplied EconomicsEngineeringIndustrial Engineering	1998	375
Choice of neighbor order in nearest-neighbor classification Peter Hall, Byeong U. Park, Richard J. Samworth The Annals of Statistics Bayesian Decision TheoryEngineeringMachine LearningKth-nearest Neighbor RuleClassification Method	2008	331
Nonparametric stochastic frontiers: A local maximum likelihood approach Subal C. Kumbhakar, Byeong U. Park, Léopold Simar, Journal of Econometrics Nonparametric Stochastic FrontiersStatistical InferenceStochastic PhenomenonStochastic GeometryStatistics	2006	257
Smoothed cross-validation Peter Hall, J. S. Marron, Byeong U. Park Probability Theory and Related Fields	1992	242
On Estimation of Monotone and Concave Frontier Functions Irène Gijbels, Enno Mammen, Byeong U. Park, Journal of the American Statistical Association Mathematical ProgrammingResource ProductivityResource EfficiencyApplied EconomicsFrontier Function	1999	196
Model Selection via Bayesian Information Criterion for Quantile Regression Models Eun Ryung Lee, Hohsuk Noh, Byeong U. Park Journal of the American Statistical Association	2013	180
Nonparametric conditional efficiency measures: asymptotic properties Seok‐Oh Jeong, Byeong U. Park, Léopold Simar Annals of Operations Research Econometric ModelEconomicsAsymptotic PropertiesBusinessEconomic Analysis	2008	132
Comparison of Data-Driven Bandwidth Selectors Byeong U. Park, J. S. Marron Journal of the American Statistical Association EngineeringPlug-in BandwidthData-driven Bandwidth SelectorsData ScienceUnderlying Density	1990	129
Versions of Kernel-Type Regression Estimators M. C. Jones, S. J. Davies, Byeong U. Park Journal of the American Statistical Association Density EstimationPractical EstimatorsEngineeringNuisance Density FunctionKernel Method	1994	116

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