Joe Whittaker

2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Joe Whittaker trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Ruppert
2. Roger W. Koenker
3. G. Bassett

Papers from Joe Whittaker's perspective

Ordered by how strongly the researchers Joe Whittaker trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Quantiles
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
3. A new family of power transformations to improve normality or symmetry
4. Spline Models for Observational Data
5. Smoothing Spline Anova Models
6. Nonparametric regression and generalized linear models
7. Generalized Additive Models: An Introduction With R
8. Bayesian analysis of binary and polychotomous response data
9. Sampling-Based Approaches to Calculating Marginal Densities
10. Local Regression and Likelihood

Their papers

• The neglog transformation and quantile regression for the analysis of a large credit scoring database (2005) — 87 citations