Matthew Lang

Global and Planetary Change · 2006–2008

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 27 citations into it; #543 of 10,225 by trust here, #2,967 by citations
• Finance — 22 citations into it; #8,914 of 10,518 by trust here, #7,251 by citations
• Statistics and Probability — 13 citations into it; #1,963 of 12,932 by trust here, #3,255 by citations
• Economics and Econometrics — 8 citations into it
• Water Science and Technology — 8 citations into it
• Environmental Engineering — 6 citations into it; #401 of 5,479 by trust here, #1,629 by citations
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Matthew Lang trusts overall

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

1. Stuart Coles
2. Martin Schlather
3. Jonathan A. Tawn
4. Anne-Catherine Favre
5. Salvatore Grimaldi
6. Dirceu Silveira Reis
7. P. Bortot
8. Jery R. Stedinger
9. Peter J. Diggle
10. Kok-Kwang Phoon

Who trusts Matthew Lang overall

1. Benjamin Renard
2. Shih-Chieh Kao
3. C. Bracken
4. Vijay P. Singh
5. Songbai Song
6. G. Salvadori
7. Lu Chen
8. Rao S. Govindaraju
9. Stefanie Vogl
10. Patrick Laux

Papers from Matthew Lang's perspective

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

1. An Introduction to Statistical Modeling of Extreme Values
2. Bivariate Statistical Approach to Check Adequacy of Dam Spillway
3. Statistical Inference Using Extreme Order Statistics
4. Bayesian MCMC flood frequency analysis with historical information
5. Fonctions de repartition a n dimensions et leurs marges
6. Statistics of extremes in hydrology
7. Frequency analysis via copulas: Theoretical aspects and applications to hydrological events
8. Model‐based geostatistics
9. Sampling-Based Approaches to Calculating Marginal Densities
10. Generalized maximum‐likelihood generalized extreme‐value quantile estimators for hydrologic data

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
• The flood probability distribution tail: how heavy is it? (2008) — 63 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