Byeong Park

Q: What Schools Are Affiliated With Byeong Park

Byeong Park is affiliated with the following schools: University of California, Berkeley, Seoul National University

Byeong Park's AcademicInfluence.com Rankings

Byeong Park

Mathematics

#7931

World Rank

#10778

Historical Rank

Statistics

#1058

World Rank

#1161

Historical Rank

mathematics Degrees

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Mathematics

Byeong Park's Degrees

PhD Statistics Seoul National University
Masters Statistics Seoul National University
Bachelors Statistics Seoul National University

Why Is Byeong Park Influential?

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According to Wikipedia, Byeong Uk Park is a South Korean statistician working in structured nonparametric regression, semiparametric inference and non-Euclidean data analysis. He is Professor of Statistics at the Seoul National University.

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Byeong Park's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Comparison of data-driven bandwith selectors (1988) (506)
A NOTE ON THE CONVERGENCE OF NONPARAMETRIC DEA ESTIMATORS FOR PRODUCTION EFFICIENCY SCORES (1998) (400)
Choice of neighbor order in nearest-neighbor classification (2008) (296)
Nonparametric stochastic frontiers: A local maximum likelihood approach (2007) (239)
On estimation of monotone and concave frontier functions (1999) (233)
Smoothed cross-validation (1992) (232)
THE FDH ESTIMATOR FOR PRODUCTIVITY EFFICIENCY SCORES (2000) (215)
Nonparametric conditional efficiency measures: asymptotic properties (2010) (153)
A simple root n bandwidth selector (1991) (139)
Model Selection via Bayesian Information Criterion for Quantile Regression Models (2014) (130)
Efficient Semiparametric Estimation in a Stochastic Frontier Model (1994) (120)
Versions of Kernel-Type Regression Estimators (1994) (118)
Varying Coefficient Regression Models: A Review and New Developments (2015) (112)
Time Series Modelling With Semiparametric Factor Dynamics (2007) (105)
A Note on the Convergence of Nonparametric DEA Efficiency Measures (1996) (104)
Estimation of non-sharp support boundaries (1995) (85)
Smooth backfitting in generalized additive models (2008) (83)
ASYMPTOTIC DISTRIBUTION OF CONICAL-HULL ESTIMATORS OF DIRECTIONAL EDGES (2010) (78)
Semiparametric efficient estimation of dynamic panel data models (2007) (72)
Semiparametric efficient estimation of AR(1) panel data models. (2003) (72)
Local likelihood estimation of truncated regression and its partial derivatives: theory and application (2008) (72)
Bandwidth selection for smooth backfitting in additive models (2005) (72)
New methods for bias correction at endpoints and boundaries (2002) (64)
On Polynomial Estimators of Frontiers and Boundaries (1998) (59)
Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration (2005) (54)
SPARSE VARYING COEFFICIENT MODELS FOR LONGITUDINAL DATA (2010) (51)
FDH Efficiency Scores from a Stochastic Point of View (1997) (49)
Time-Varying Additive Models for Longitudinal Data (2013) (47)
Flexible generalized varying coefficient regression models (2012) (45)
Backfitting and smooth backfitting for additive quantile models (2010) (44)
On the use of pilot estimators in bandwidth selection (1992) (43)
Cook's distance in local polynomial regression (2001) (39)
A simple smooth backfitting method for additive models (2006) (37)
Sparse estimation in functional linear regression (2012) (36)
Estimation of Kullback–Leibler Divergence by Local Likelihood (2006) (36)
Semi-parametric regression: Efficiency gains from modeling the nonparametric part (2011) (32)
BOOTSTRAP-BASED PENALTY CHOICE FOR THE LASSO , ACHIEVING ORACLE PERFORMANCE (2009) (30)
Categorical data in local maximum likelihood: theory and applications to productivity analysis (2015) (29)
Asymptotically best bandwidth selectors in kernel density estimation (1994) (28)
Stochastic Frontiers: A Semiparametric Approach (1993) (28)
Influence diagnostics in semiparametric regression models (2002) (27)
Projection-type estimation for varying coefficient regression models (2012) (26)
PRINCIPAL COMPONENT ANALYSIS IN VERY HIGH-DIMENSIONAL SPACES (2012) (24)
Additive Functional Regression for Densities as Responses (2020) (23)
Asymptotics for in-sample density forecasting (2015) (22)
A note on design transformation and binning in nonparametric curve estimation (1998) (22)
Additive Models: Extensions and Related Models. (2012) (21)
B-spline deconvolution based on the EM algorithm (1996) (21)
Data envelope fitting with constrained polynomial splines (2016) (21)
Special issue on functional data analysis (2017) (21)
Bandwidth choice for local polynomial estimation of smooth boundaries (2004) (20)
Using bimodal kernel for inference in nonparametric regression with correlated errors (2009) (20)
Local likelihood method: a bridge over parametric and nonparametric regression (2003) (19)
Large Sample Approximation of the Distribution for Convex‐Hull Estimators of Boundaries (2006) (19)
A Simple Estimator of Error Correlation in Non‐parametric Regression Models (2006) (19)
Likelihood-Based Local Polynomial Fitting for Single-Index Models (2002) (18)
Bezier curve smoothing of the Kaplan-Meier estimator (2003) (17)
Additive regression with Hilbertian responses (2020) (16)
Nonparametric estimation of dynamic discrete choice models for time series data (2017) (16)
Smoothing techniques via the bezier curve (1999) (16)
Semiparametric E ¢ cient Estimation of AR ( 1 ) Panel Data Models ¤ (2000) (15)
Practically Applicable Central Limit Theorem for Spatial Statistics (2009) (14)
Operational time and in-sample density forecasting (2017) (13)
Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues (2009) (13)
On local likelihood density estimation (2002) (12)
Smooth backfitting for additive modeling with small errors-in-variables, with an application to additive functional regression for multiple predictor functions (2018) (12)
Non-parametric hazard function estimation using the Kaplan–Meier estimator (2005) (12)
Efficient estimation in the two-sample semiparametric location-scale models (1990) (11)
A Method for Projecting Functional Data Onto a Low-Dimensional Space (2007) (11)
Optimal smoothing in adaptive location estimation (1997) (11)
Nonparametric detection of correlated errors (2004) (10)
Semiparametric EÆcient Estimation of Dynamic Panel Data Models (2003) (10)
On Projection‐type Estimators of Multivariate Isotonic Functions (2013) (10)
Comments on: Panel data analysis—advantages and challenges (2007) (9)
Efficient estimation for partially linear varying coefficient models when coefficient functions have different smoothing variables (2014) (9)
Bayesian test for asymmetry and nonstationarity in MTAR model with possibly incomplete data (2005) (9)
Conditional quantile estimation by local logistic regression (2006) (9)
A Cross-Validatory Choice of Smoothing Parameter in Adaptive Location Estimation (1993) (9)
Backfitting and Smooth Backfitting in Varying Coefficient Quantile Regression (2014) (8)
ROLLING-BALL METHOD FOR ESTIMATING THE BOUNDARY OF THE SUPPORT OF A POINT-PROCESS INTENSITY (2002) (8)
An empirical investigation of the shifted power transformation method in density estimation (1992) (8)
Additive regression for non-Euclidean responses and predictors (2021) (8)
Skewing and Generalized Jackknifing in Kernel Density Estimation (2003) (7)
Smoothing Techniques for the Bivariate Kaplan–Meier Estimator (2005) (7)
Local maximum likelihood techniques with categorical data (2010) (7)
Estimation of Errors-in-Variables Partially Linear Additive Models (2018) (6)
On local likelihood density estimation when the bandwidth is large (2006) (6)
Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups (2020) (5)
Smooth backfitting for errors-in-variables additive models (2018) (5)
Bandwidth selection for kernel regression with correlated errors (2010) (4)
Limit Distribution of Convex-Hull Estimators of Boundaries (2004) (4)
On identity reproducing nonparametric regression estimators (1997) (4)
Locally polynomial Hilbertian additive regression (2022) (4)
Time-dynamic varying coefficient models for longitudinal data (2018) (4)
Singular Additive Models for Function to Function Regression (2018) (4)
On estimating integrated squared spectral density derivatives (1995) (3)
Forecasting of recessions via dynamic probit for time series: replication and extension of Kauppi and Saikkonen (2008) (2019) (3)
CHOICE OF NEIGHBOUR ORDER FOR NEAREST-NEIGHBOUR CLASSIFICATION RULE (3)
Principal component analysis for Hilbertian functional data (2020) (3)
Estimation of integrated squared spectral density derivatives (1991) (3)
Corrigendum to "Semiparametric-efficient estimation of AR(1) panel data models": [J. Econom. 117 (2003) 279-309] (2003) (3)
Asymptotic minimax estimation in semiparametric models (1991) (3)
Nonparametric Estimation of Production Efficiency (2006) (2)
A simple and effective bandwidth selector for local polynomial quasi-likelihood regression (2007) (2)
Testing increasing dispersion (1995) (2)
TESTING IN NONPARAMETRIC VARYING COEFFICIENT ADDITIVE MODELS (2011) (2)
Behaviour of Kernel Density Estimates and Bandwidth Selectors for Contaminated Data Sets (1996) (1)
Forecasting of recessions via dynamic probit for time series: replication and extension of Kauppi and Saikkonen (2008) (2019) (1)
Nonparametric regression on Lie groups with measurement errors (2022) (1)
On estimating the slope of increasing boundaries (2001) (1)
On Convex Boundary Estimation (2011) (1)
Test of Purchasing Power Parity for Korean Exchange Rate: Sign Unit Root Test (2004) (1)
Note from the Korean Statistical Society and Elsevier (2008) (1)
Smooth backfitting for errors-in-variables varying coefficient regression models (2020) (0)
Centre for Efficiency and Productivity Analysis Working Paper Series No . WP 14 / 2010 Local Maximum Likelihood Techniques with Categorical Data (2011) (0)
NONPARAMETRIC ADDITIVE REGRESSION (2019) (0)
Local asymptotic normality for independent not identically distributed observations in semiparametric models (1987) (0)
Categorical data in local maximum likelihood: theory and applications to productivity analysis (2014) (0)
Nonparametric estimation of reliability function using the kernel density estimation method (1994) (0)
Asymptotically efficient estimators of location and scale parameters in the two-sample semiparametric location-scale model (1987) (0)
In Memory of Professor Peter Gavin Hall, 1951–2016 (2016) (0)
Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008) (2017) (0)
Special issue on “Papers inspired by the inaugural IMS Asia–Pacific Rim Meeting” (2010) (0)
Editor’s report for the year 2008 (2009) (0)
Non-Parametric Approach to Dynamic Time Series Discrete Choice Models (2013) (0)
Nonparametric Discrete Choice Models for Time Series : Theory and Application to Predicting Recessions (2014) (0)
Intrinsic Hölder classes of density functions on Riemannian manifolds and lower bounds to convergence rates (2021) (0)
ffi cient Estimation of AR ( 1 ) Panel Data Models ∗ (2003) (0)
Rejoinder (2015) (0)
On an efficient smoothing parameter selector proposed by Hall and Johnstone (1991) (0)
Kernel excess mass test for multimodality (2018) (0)
Smoothing Parameter Selection in Nonparametric Spectral Density Estimation (1995) (0)
Additive regression for predictors of various natures and possibly incomplete Hilbertian responses (2021) (0)
Corrigendum to "Bayesian test for asymmetry and nonstationarity in MTAR model with possibly incomplete data": [Computational Statistics and Data Analysis 49/4 (2005) 1192-1204] (2006) (0)
Online Supplement: Additive Functional Regression for Densities as Responses (2019) (0)
Generalised additive dependency inflated models including aggregated covariates (2019) (0)
Exponential Concentration for Geometric-Median-of-Means in Non-Positive Curvature Spaces (2022) (0)
LOCAL ASYIIPfOTIC NORMALITY FOR INIEPENDENT N<Jf IDENTICAlLY DIsrRIBUfEI) OBSERVATIafS IN SEIIIPARAJIETRIC JfDDELS (1987) (0)

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Other Resources About Byeong Park

en.wikipedia.org

What Schools Are Affiliated With Byeong Park?

Byeong Park is affiliated with the following schools:

Byeong Park's Academic­Influence.com Rankings