Donald H. Burn

Statistics and Probability · 2001–2013

A researcher in the Science corpus: 11 papers; trusts 71 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 47 citations into it; #4,614 of 12,932 by trust here, #10,275 by citations
• Computational Theory and Mathematics — 44 citations into it; #9,657 of 12,182 by trust here, #9,804 by citations
• Global and Planetary Change — 36 citations into it; #960 of 10,225 by trust here, #4,014 by citations
• Management Science and Operations Research — 28 citations into it
• Environmental Engineering — 27 citations into it
• Artificial Intelligence — 22 citations into it
• Water Science and Technology — 21 citations into it; #294 of 1,711 by trust here, #776 by citations
• Civil and Structural Engineering — 13 citations into it

Whom Donald H. Burn trusts overall

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

1. Attilio Castellarin
2. Carlo De Michele
3. Donald R. Jones
4. Chong Gu
5. Yaochu Jin
6. Ashish Sharma
7. Renzo Rosso
8. Katherine S. Campbell
9. Christine Annette Shoemaker
10. Andy J. Keane

Who trusts Donald H. Burn overall

1. T. T. Hailegeorgis
2. Aart Overeem
3. S. Thorolfsson
4. Luis Samaniego
5. Attilio Castellarin
6. A. Buishand
7. Knut Tore Alfredsen
8. Taha B. M. J. Ouarda
9. Ming Ye
10. I. Holleman

Papers from Donald H. Burn's perspective

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

1. Efficient Global Optimization of Expensive Black-Box Functions
2. Design and analysis of computer experiments
3. A Taxonomy of Global Optimization Methods Based on Response Surfaces
4. A Radial Basis Function Method for Global Optimization (Journal of Global Optimization)
5. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
6. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
7. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
8. Effective and efficient global optimization for conceptual rainfall‐runoff models
9. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
10. Predicting the output from a complex computer code when fast approximations are available

Their papers

• Numerical assessment of metamodelling strategies in computationally intensive optimization (2012) — 149 citations
• The use of resampling for estimating confidence intervals for single site and pooled frequency analysis / Utilisation d'un rééchantillonnage pour l'estimation des intervalles de confiance lors d'analyses fréquentielles mono et multi-site (2003) — 57 citations
• Earlier springs decrease peak summer productivity in North American boreal forests (2013) — 227 citations
• Review of surrogate modeling in water resources (2012)
• A Fuzzy C-Means approach for regionalization using a bivariate homogeneity and discordancy approach (2011) — 70 citations
• Homogeneity testing : How homogeneous do heterogeneous cross-correlated regions seem? (2008) — 97 citations
• Improved K-Nearest Neighbor Weather Generating Model (2007) — 105 citations
• Switching the pooling similarity distances: Mahalanobis for Euclidean (2006) — 56 citations
• Long‐lead probabilistic forecasting of streamflow using ocean‐atmospheric and hydrological predictors (2006) — 55 citations
• Non-stationary pooled flood frequency analysis (2003) — 186 citations
• Assessing the effectiveness of hydrological similarity measures for flood frequency analysis (2001) — 216 citations