Hee‐Seok Oh
Statistics and Probability · 2007–2013
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it; #3,540 of 12,932 by trust here, #6,310 by citations
- Computational Mechanics — 5 citations into it; #2,963 of 10,001 by trust here, #6,041 by citations
- Computer Vision and Pattern Recognition — 5 citations into it; #17,408 of 21,575 by trust here, #21,424 by citations
Whom Hee‐Seok Oh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernard Walter Silverman
- Iain M. Johnstone
- William S. Cleveland
- Jianqing Fan
- David L. Donoho
- Anestis Antoniadis
- Arne Kovac
- Robert Tibshirani
- David Ruppert
- Eitan Greenshtein
Who trusts Hee‐Seok Oh overall
Papers from Hee‐Seok Oh's perspective
Ordered by how strongly the researchers Hee‐Seok Oh trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Ideal spatial adaptation by wavelet shrinkage
- Addendum: Regularization and variable selection via the elastic net
- Asymptotics for lasso-type estimators
- Spline Models for Observational Data
- Sure independence screening for ultrahigh dimensional feature space
- High-dimensional graphs and variable selection with the Lasso
- The Adaptive Lasso and Its Oracle Properties
- Regularization of Wavelet Approximations
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Their papers
- Smoothly Clipped Absolute Deviation on High Dimensions (2008) — 277 citations
- Introduction to Linear Regression Analysis, 5th edition by MONTGOMERY, DOUGLAS C., PECK, ELIZABETH A., and VINING, G. GEOFFREY (2013) — 87 citations
- The Role of Pseudo Data for Robust Smoothing with Application to Wavelet Regression (2007) — 54 citations