Benjamin Renard

Global and Planetary Change · 2006–2011

A researcher in the Science corpus: 7 papers; trusts 70 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 66 citations into it; #228 of 10,225 by trust here, #1,325 by citations
• Water Science and Technology — 42 citations into it; #169 of 1,711 by trust here, #434 by citations
• Finance — 28 citations into it; #9,326 of 10,518 by trust here, #7,251 by citations
• Environmental Engineering — 25 citations into it; #445 of 5,479 by trust here, #1,629 by citations
• Statistics and Probability — 22 citations into it; #2,110 of 12,932 by trust here, #3,255 by citations
• Artificial Intelligence — 16 citations into it
• Economics and Econometrics — 12 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Benjamin Renard trusts overall

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

1. Stuart Coles
2. John K. Kruschke
3. Mathieu Ribatet
4. James S. Clark
5. Dmitri Kavetski
6. Martin Schlather
7. R. Katz
8. Jonathan A. Tawn
9. Jery R. Stedinger
10. George A. Kuczera

Who trusts Benjamin Renard overall

1. C. Bracken
2. Shih-Chieh Kao
3. Dmitri Kavetski
4. C. Lima
5. Vijay P. Singh
6. Keith Beven
7. Lu Chen
8. M. Clark
9. Songbai Song
10. G. Salvadori

Papers from Benjamin Renard's perspective

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

1. An Introduction to Statistical Modeling of Extreme Values
2. Sampling-Based Approaches to Calculating Marginal Densities
3. Statistical Inference Using Extreme Order Statistics
4. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
5. Model‐based geostatistics
6. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
7. Bayesian data analysis.
8. Generalized maximum‐likelihood generalized extreme‐value quantile estimators for hydrologic data
9. Bayesian calibration of computer models
10. Statistics of extremes in hydrology

Their papers

• Use of a Gaussian copula for multivariate extreme value analysis: Some case studies in hydrology (2007) — 342 citations
• An application of Bayesian analysis and Markov chain Monte Carlo methods to the estimation of a regional trend in annual maxima (2006) — 100 citations
• A Bayesian hierarchical approach to regional frequency analysis (2011) — 123 citations
• Evaluation of statistical models for forecast errors from the HBV model (2010) — 62 citations
• Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors (2010) — 825 citations
• Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis (2009) — 394 citations
• Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data (2006) — 124 citations