Byeong U. Park
Statistics and Probability · 2000–2020
A researcher in the Science corpus: 17 papers; trusts 67 researchers and is trusted by 48 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 108 citations into it; #2,264 of 12,932 by trust here, #2,579 by citations
- Artificial Intelligence — 34 citations into it; #17,362 of 35,345 by trust here, #21,878 by citations
- Economics and Econometrics — 24 citations into it; #2,578 of 23,481 by trust here, #4,106 by citations
- Management Science and Operations Research — 21 citations into it; #1,474 of 11,946 by trust here, #1,559 by citations
- Control and Systems Engineering — 14 citations into it
- Statistical Learning Theory — 13 citations into it
- Analytical Chemistry — 11 citations into it
- Finance — 10 citations into it; #5,894 of 10,518 by trust here, #7,575 by citations
Whom Byeong U. Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianqing Fan
- Robert Tibshirani
- Hui Zou
- S. Jammalamadaka
- Jianhua Z. Huang
- Runze Li
- C. Stone
- Hansheng Wang
- Trevor J. Hastie
- Ming Yuan
Who trusts Byeong U. Park overall
- Léopold Simar
- Paul Wilson
- Alois Kneip
- Robin C. Sickles
- Abdelaati Daouia
- Young K. Lee
- Seok-Oh Jeong
- Enno Mammen
- Dominik Liebl
- M. D. C. S. D. Sousa
Papers from Byeong U. Park's perspective
Ordered by how strongly the researchers Byeong U. Park trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Model selection and estimation in regression with grouped variables
- The Adaptive Lasso and Its Oracle Properties
- Additive Regression and Other Nonparametric Models
- Estimating the Dimension of a Model
- One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Projection Pursuit Regression
- Spline Models for Observational Data
Their papers
- Choice of neighbor order in nearest-neighbor classification (2008) — 330 citations
- THE FDH ESTIMATOR FOR PRODUCTIVITY EFFICIENCY SCORES (2000) — 221 citations
- ASYMPTOTIC DISTRIBUTION OF CONICAL-HULL ESTIMATORS OF DIRECTIONAL EDGES (2010) — 74 citations
- Smooth backfitting in generalized additive models (2008) — 95 citations
- Time-Varying Additive Models for Longitudinal Data (2013) — 57 citations
- Nonparametric stochastic frontiers: A local maximum likelihood approach (2007) — 266 citations
- Time Series Modelling With Semiparametric Factor Dynamics (2009) — 106 citations
- Semiparametric efficient estimation of AR(1) panel data models. (2003) — 74 citations
- New methods for bias correction at endpoints and boundaries (2002) — 69 citations
- Local likelihood estimation of truncated regression and its partial derivatives: theory and application (2008) — 74 citations
- Backfitting and smooth backfitting for additive quantile models (2010) — 57 citations
- Flexible generalized varying coefficient regression models (2012) — 52 citations
- Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration (2006) — 56 citations
- Additive Functional Regression for Densities as Responses (2020) — 52 citations
- Varying Coefficient Regression Models: A Review and New Developments (2015) — 138 citations
- Model Selection via Bayesian Information Criterion for Quantile Regression Models (2014) — 188 citations
- SPARSE VARYING COEFFICIENT MODELS FOR LONGITUDINAL DATA (2010) — 52 citations