Pakize Taylan

2007–2011

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Pakize Taylan trusts overall

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

1. Trevor J. Hastie
2. Jerome H. Friedman
3. C. Stone
4. John Fox
5. Robert Tibshirani
6. Arkadi Nemirovski
7. Eric R. Ziegel
8. Werner Stuetzle
9. James M. Varah
10. Nicolas J.-B. Brunel

Who trusts Pakize Taylan overall

1. Claudio Gambella
2. Bissan Ghaddar

Papers from Pakize Taylan's perspective

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

1. The Elements of Statistical Learning
2. A Practical Guide to Splines
3. Projection Pursuit Regression
4. Additive Regression and Other Nonparametric Models
5. Regression Shrinkage and Selection via the Lasso
6. Lectures on modern convex optimization
7. Parameter estimation for differential equations: a generalized smoothing approach
8. Linear Smoothers and Additive Models
9. Parameter estimation of ODE’s via nonparametric estimators
10. Generalized Additive Models: Some Applications

Their papers

• New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology (2007) — 87 citations
• Parameter Estimation in Stochastic Differential Equations (2011) — 188 citations