Linda H. Zhao
Statistics and Probability · 2000–2020
A researcher in the Science corpus: 14 papers; trusts 21 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 108 citations into it; #1,059 of 12,932 by trust here, #1,081 by citations
- Artificial Intelligence — 31 citations into it; #4,625 of 35,345 by trust here, #6,614 by citations
- Economics and Econometrics — 15 citations into it
- Control and Systems Engineering — 9 citations into it; #508 of 8,257 by trust here, #2,782 by citations
- Finance — 8 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Linda H. Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lawrence D. Brown
- Grace Wahba
- Jerome H. Friedman
- Halbert White
- Donald B. Rubin
- Brian S. Yandell
- James O. Berger
- Richard A. Berk
- David Freedman
- M. Chris Jones
Who trusts Linda H. Zhao overall
- Subhashis Ghosal
- Judith Rousseau
- Haralambie Leahu
- Sari Lasanen
- Vincent Rivoirard
- E. Belitser
- I. Castillo
- Yongdai Kim
- Botond Szab'o
- Kolyan Ray
Papers from Linda H. Zhao's perspective
Ordered by how strongly the researchers Linda H. Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Spline Models for Observational Data
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- On robust estimation of the location parameter
- Testing Statistical Hypotheses
- The behavior of maximum likelihood estimates under nonstandard conditions
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- The Dantzig selector: Statistical estimation when P is much larger than n
- The elements of statistical learning: data mining, inference and prediction
Their papers
- Learning From Crowds (2010) — 1,543 citations
- Valid post-selection inference (2013) — 651 citations
- Supervised learning from multiple experts: whom to trust when everyone lies a bit (2009) — 391 citations
- Bayesian aspects of some nonparametric problems (2000) — 104 citations
- Statistical Analysis of a Telephone Call Center (2005) — 903 citations
- Models as Approximations I: Consequences Illustrated with Linear Regression (2014) — 101 citations
- Models as Approximations II: A Model-Free Theory of Parametric Regression (2016) — 55 citations
- Working with Misspecified Regression Models (2018) — 11 citations
- Free‐knot polynomial splines with confidence intervals (2003) — 55 citations
- Valid post-selection inference in model-free linear regression (2020) — 30 citations
- Assumption Lean Regression (2018) — 28 citations
- Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression (2015) — 24 citations
- An Autoregressive Approach to House Price Modeling (2011) — 72 citations
- A test for the poisson distribution (2002) — 53 citations