Bruce A. Robinson
Water Science and Technology · 2007–2014
A researcher in the Science corpus: 8 papers; trusts 62 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 54 citations into it; #60 of 1,711 by trust here, #281 by citations
- Global and Planetary Change — 46 citations into it; #638 of 10,225 by trust here, #1,602 by citations
- Environmental Engineering — 29 citations into it
- Artificial Intelligence — 25 citations into it; #6,826 of 35,345 by trust here, #13,962 by citations
- Statistics and Probability — 18 citations into it; #4,999 of 12,932 by trust here, #2,407 by citations
- Computational Mechanics — 15 citations into it
- Probabilistic & Bayesian Methods — 14 citations into it
- Computational Theory and Mathematics — 13 citations into it; #1,461 of 12,182 by trust here, #2,629 by citations
Whom Bruce A. Robinson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Andrew Gelman
- Jasper A. Vrugt
- Keith Beven
- Nikolaus Hansen
- Soroosh Sorooshian
- Hamid Moradkhani
- Hoshin V. Gupta
- Qingyun Duan
- Heikki Haario
Who trusts Bruce A. Robinson overall
- Jasper A. Vrugt
- Mojtaba Sadegh
- David Hadka
- Thomas Wöhling
- Elizabeth H. Keating
- Dmitri Kavetski
- Eric Laloy
- Xuesong Zhang
- Patrick M. Reed
- Keith Beven
Papers from Bruce A. Robinson's perspective
Ordered by how strongly the researchers Bruce A. Robinson trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference from Iterative Simulation Using Multiple Sequences
- The future of distributed models: model calibration and uncertainty prediction.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Bayesian recursive parameter estimation for hydrologic models
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- A manifesto for the equifinality thesis
- Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
- Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
Their papers
- Improved evolutionary optimization from genetically adaptive multimethod search (2007) — 626 citations
- Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces (2009) — 350 citations
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling (2009) — 1,086 citations
- Pore-scale simulation of multicomponent multiphase reactive transport with dissolution and precipitation (2014) — 150 citations
- Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? (2009) — 497 citations
- Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling (2008) — 351 citations
- Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation (2008) — 845 citations
- Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging (2007) — 346 citations