Theo Gasser
Statistics and Probability · 1979–2005
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it; #2,970 of 12,932 by trust here, #6,310 by citations
Whom Theo Gasser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Theo Gasser overall
- Songxi Chen
- Joel L. Horowitz
- Jakob Roll
- Nicolas J.-B. Brunel
- C. Stone
- Jan Beran
- Rohana J. Karunamuni
- Markus Frölich
- Wenceslao González-Manteiga
- Wei Biao Wu
Papers from Theo Gasser's perspective
Ordered by how strongly the researchers Theo Gasser trusts endorse each paper. Same corpus, a different order for every researcher.
- A Practical Guide to Splines
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Nonparametric maximum likelihood estimation for shifted curves
- Curve registration by local regression
- Ideal spatial adaptation by wavelet shrinkage
- Regression Shrinkage and Selection via the Lasso
- On Model Selection Consistency of Lasso
- High-dimensional graphs and variable selection with the Lasso
- Smoothing noisy data with spline functions
Their papers
- Nonparametric maximum likelihood estimation of the structural mean of a sample of curves (2005) — 61 citations
- Data Adaptive Ridging in Local Polynomial Regression (2000) — 71 citations
- Self‐modelling warping functions (2004) — 135 citations
- Estimating regression functions and their derivatives by the kernel method (1984)
- Kernel estimation of regression functions (1979)