E. Pitkin
Statistics and Probability · 2013–2015
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 38 citations into it; #3,859 of 12,932 by trust here, #1,662 by citations
- Artificial Intelligence — 21 citations into it; #10,871 of 35,345 by trust here, #10,942 by citations
Whom E. Pitkin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Jerome H. Friedman
- Trevor J. Hastie
- Adam Kapelner
- Tao Jiang
- David Freedman
- Halbert White
- Robert Tibshirani
Who trusts E. Pitkin overall
Papers from E. Pitkin's perspective
Ordered by how strongly the researchers E. Pitkin trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Generalized Additive Models
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Valid post-selection inference
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- The behavior of maximum likelihood estimates under nonstandard conditions
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
- Quasi-regression for visualization and interpretation of black box functions
- Statistical inference for exploratory data analysis and model diagnostics
- Modern Applied Statistics with S
Their papers
- Models as Approximations: How Random Predictors and Model Violations Invalidate Classical Inference in Regression (2014) — 33 citations
- Models as Approximations I: Consequences Illustrated with Linear Regression (2014) — 101 citations
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation (2013) — 1,731 citations
- Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression (2015) — 24 citations