Clémentine Prieur

Statistics and Probability · 2004–2021

A researcher in the Science corpus: 15 papers; trusts 25 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Clémentine Prieur trusts overall

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

  1. Jérôme Dedecker
  2. Emanuele Borgonovo
  3. Andrea Saltelli
  4. Paul Doukhan
  5. Bruno Sudret
  6. Eric R. Ziegel
  7. Stefano Tarantola
  8. Giles Hooker
  9. Christiane Lemieux
  10. Gaelle Chastaing

Who trusts Clémentine Prieur overall

  1. F. Merlevède
  2. Paul Doukhan
  3. Jérôme Dedecker
  4. Magda Peligrad
  5. Wei Biao Wu
  6. Michael H. Neumann
  7. Fabrice Gamboa
  8. Raoul S. Kallabis
  9. István Berkes
  10. E. Rio

Papers from Clémentine Prieur's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Random Forests
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Making best use of model evaluations to compute sensitivity indices
  5. Calculations of Sobol indices for the Gaussian process metamodel (Reliability Engineering & System Safety)
  6. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
  7. A Unified Approach to Interpreting Model Predictions
  8. Measuring Statistical Dependence with Hilbert-Schmidt Norms
  9. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  10. The Design and Analysis of Computer Experiments (Springer Series in Statistics)

Their papers