Byeong U. Park

发表

Semi parametric efficient estimation of dynamic panel data models

Léopold Simar, Robin C. Sickles, Byeong U. Park, 2002 .

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]

Soo Jung Park, Dong Wan Shin, Man-Suk Oh, 2006, Comput. Stat. Data Anal..

FDH Efficiency Scores from a Stochastic Point of View

Léopold Simar, Byeong U. Park, Ch. Weiner, 1997 .

Semiparametric efficient estimation of dynamic panel data models

Léopold Simar, Robin C. Sickles, Byeong U. Park, 2007 .

Additive regression for predictors of various natures and possibly incomplete Hilbertian responses

Ingrid Van Keilegom, Byeong U. Park, Jeong Min Jeon, 2021 .

A Note on the Convergence of Nonparametric DEA Efficiency Measures

Léopold Simar, Alois Kneip, Byeong U. Park, 1996 .

ASYMPTOTIC DISTRIBUTION OF CONICAL-HULL ESTIMATORS OF DIRECTIONAL EDGES

Seok-Oh Jeong, Byeong U. Park, B. Park, 2010 .

Smooth backfitting for additive modeling with small errors-in-variables, with an application to additive functional regression for multiple predictor functions

Byeong U. Park, Kyunghee Han, Hans-Georg Müller, 2018 .

A simple root n bandwidth selector

James Stephen Marron, M. C. Jones, Byeong U. Park, 1991 .

Cook's distance in local polynomial regression

Choongrak Kim, Byeong U. Park, B. Park, 2001 .

A note on design transformation and binning in nonparametric curve estimation

Berwin A. Turlach, Peter Hall, Byeong U. Park, 1998 .

Smoothing techniques via the bezier curve

Choongrak Kim, Woochul Kim, Byeong U. Park, 1999 .

Stochastic Frontiers: A Semiparametric Approach

Léopold Simar, Robin C. Sickles, Byeong U. Park, 1993 .

BOOTSTRAP-BASED PENALTY CHOICE FOR THE LASSO , ACHIEVING ORACLE PERFORMANCE

Peter Hall, Eun Ryung Lee, Byeong U. Park, 2009 .

A Method for Projecting Functional Data Onto a Low-Dimensional Space

Peter Hall, Byeong U. Park, B. Park, 2007 .

CHOICE OF NEIGHBOUR ORDER FOR NEAREST-NEIGHBOUR CLASSIFICATION RULE

Peter Hall, Richard J. Samworth, Byeong U. Park, .

Categorical data in local maximum likelihood: theory and applications to productivity analysis

Léopold Simar, Valentin Zelenyuk, Byeong U. Park, 2015 .

Corrigendum to "Semiparametric-efficient estimation of AR(1) panel data models": [J. Econom. 117 (2003) 279-309]

Léopold Simar, Robin C. Sickles, Byeong U. Park, 2003 .

Special issue on functional data analysis

Piotr Kokoszka, Laura M. Sangalli, Byeong U. Park, 2017 .

A Cross-Validatory Choice of Smoothing Parameter in Adaptive Location Estimation

Byeong U. Park, 1993 .

Smooth backfitting in generalized additive models

Enno Mammen, Byeong U. Park, Kyusang Yu, 2008, 0803.1922.

Model Selection via Bayesian Information Criterion for Quantile Regression Models

Hohsuk Noh, Eun Ryung Lee, Byeong U. Park, 2014 .

Asymptotically best bandwidth selectors in kernel density estimation

James Stephen Marron, Woochul Kim, Byeong U. Park, 1994 .

A Simple Estimator of Error Correlation in Non-parametric Regression Models

Tae Yoon Kim, Cheolyong Park, Byeong U. Park, 2006 .

Varying Coefficient Regression Models: A Review and New Developments

Enno Mammen, Eun Ryung Lee, Byeong U. Park, 2015 .

Projection-type estimation for varying coefficient regression models

Enno Mammen, Byeong U. Park, E. Mammen, 2012, 1203.0403.

Flexible generalized varying coefficient regression models

Enno Mammen, Byeong U. Park, E. Mammen, 2012, 1210.4711.

Local likelihood method: a bridge over parametric and nonparametric regression

Shinto Eguchi, Byeong U. Park, B. Park, 2003 .

On Projection‐type Estimators of Multivariate Isotonic Functions

Abdelaati Daouia, Byeong U. Park, B. Park, 2013 .

Efficient Semiparametric Estimation in a Stochastic Frontier Model

Léopold Simar, Byeong U. Park, B. Park, 1994 .

B-spline deconvolution based on the EM algorithm

Ja-Yong Koo, Byeong U. Park, B. Park, 1996 .

Bandwidth selection for smooth backfitting in additive models

Enno Mammen, Byeong U. Park, E. Mammen, 2005, math/0507425.

Simple Transformation Techniques for Improved Non‐parametric Regression

Robert Kohn, David Ruppert, M. C. Jones, 1997 .

PRINCIPAL COMPONENT ANALYSIS IN VERY HIGH-DIMENSIONAL SPACES

Eun Ryung Lee, Byeong U. Park, B. Park, 2012 .

SPARSE VARYING COEFFICIENT MODELS FOR LONGITUDINAL DATA

Hohsuk Noh, Byeong U. Park, 2010 .

On the use of pilot estimators in bandwidth selection

James Stephen Marron, Byeong U. Park, J. Marron, 1992 .

On Convex Boundary Estimation

Seok-Oh Jeong, Byeong U. Park, B. Park, 2011 .

Nonparametric stochastic frontiers: A local maximum likelihood approach

Léopold Simar, Subal C. Kumbhakar, Efthymios G. Tsionas, 2007 .

Semi-parametric regression: Efficiency gains from modeling the nonparametric part

Enno Mammen, Byeong U. Park, Kyusang Yu, 2011, 1104.4410.

Local likelihood estimation of truncated regression and its partial derivatives: theory and application

Léopold Simar, Valentin Zelenyuk, Byeong U. Park, 2008 .

On local likelihood density estimation when the bandwidth is large

Tae Yoon Kim, Cheolyong Park, Shinto Eguchi, 2006 .

Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues

Debashis Paul, Peter Hall, Byeong U. Park, 2009, 0906.2128.

Nonparametric detection of correlated errors

Tae Yoon Kim, Douglas G. Simpson, Donghoh Kim, 2004 .

Semiparametric efficient estimation of AR(1) panel data models.

Léopold Simar, Robin C. Sickles, Byeong U. Park, 2003 .

Practically Applicable Central Limit Theorem for Spatial Statistics

Tae Yoon Kim, Jeong-Soo Park, Byeong U. Park, 2009 .

Time-Varying Additive Models for Longitudinal Data

Byeong U. Park, Jane-ling Wang, Xiaoke Zhang, 2013 .

Skewing and Generalized Jackknifing in Kernel Density Estimation

Choongrak Kim, Woochul Kim, Byeong U. Park, 2003 .

Non-parametric hazard function estimation using the Kaplan–Meier estimator

Whasoo Bae, Choongrak Kim, Byeong U. Park, 2005 .