Pascal Sarda

Statistics and Probability · 2003–2018

A researcher in the Science corpus: 9 papers; trusts 35 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 43 citations into it; #910 of 12,932 by trust here, #1,026 by citations
• Artificial Intelligence — 21 citations into it; #22,721 of 35,345 by trust here, #32,362 by citations
• Statistical Learning Theory — 8 citations into it
• Mathematical Physics — 8 citations into it; #3,327 of 8,562 by trust here, #2,904 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Economics and Econometrics — 7 citations into it
• Numerical Analysis — 7 citations into it
• Numerical Methods & Scientific Computing — 6 citations into it

Whom Pascal Sarda trusts overall

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

1. Hervé Cardot
2. Eric R. Ziegel
3. C. Stone
4. Peter Hall
5. H. Muller
6. Jushan Bai
7. Trevor J. Hastie
8. E.J. Candes
9. Frédéric Ferraty
10. James O. Ramsay

Who trusts Pascal Sarda overall

1. H. Muller
2. Christophe Crambes
3. Adela Martínez-Calvo
4. M. Febrero–Bande
5. Jing Lei
6. André Mas
7. Peter Hall
8. Jane-ling Wang
9. Hervé Cardot
10. Tommaso Cai

Papers from Pascal Sarda's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Spline Models for Observational Data
3. Generalized Linear Models
4. [A Statistical View of Some Chemometrics Regression Tools]: Discussion
5. High-dimensional graphs and variable selection with the Lasso
6. Inference for Density Families Using Functional Principal Component Analysis
7. On Model Selection Consistency of Lasso
8. Additive Regression and Other Nonparametric Models
9. Linear Processes in Function Spaces: Theory And Applications
10. The Dantzig selector: Statistical estimation when P is much larger than n

Their papers

• Smoothing splines estimators for functional linear regression (2009) — 322 citations
• Estimation in generalized linear models for functional data via penalized likelihood (2005) — 167 citations
• Testing hypotheses in the functional linear model (2003) — 196 citations
• Quantile regression when the covariates are functions (2005) — 130 citations
• CLT in functional linear regression models (2005) — 141 citations
• Factor models and variable selection in high-dimensional regression analysis (2011) — 52 citations
• Electricity consumption prediction with functional linear regression using spline estimators (2010) — 51 citations
• Functional Linear Regression (2018) — 38 citations
• SPLINE ESTIMATORS FOR THE FUNCTIONAL LINEAR MODEL (2003) — 560 citations