Mojtaba Sadegh
Global and Planetary Change · 2011–2017
A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 79 citations into it; #8,256 of 10,225 by trust here, #9,422 by citations
- Water Science and Technology — 69 citations into it; #962 of 1,711 by trust here, #1,371 by citations
- Environmental Engineering — 31 citations into it; #1,434 of 5,479 by trust here, #3,093 by citations
- Statistics and Probability — 28 citations into it; #5,605 of 12,932 by trust here, #8,279 by citations
- Artificial Intelligence — 21 citations into it; #14,421 of 35,345 by trust here, #24,417 by citations
- Finance — 15 citations into it
- Probabilistic & Bayesian Methods — 15 citations into it
- Ocean Engineering — 13 citations into it
Whom Mojtaba Sadegh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jasper A. Vrugt
- Keith Beven
- G. Schoups
- Hoshin V. Gupta
- Qingyun Duan
- Dmitri Kavetski
- Soroosh Sorooshian
- C. T. ter Braak
- Paul Marjoram
- Eric Laloy
Who trusts Mojtaba Sadegh overall
Papers from Mojtaba Sadegh's perspective
Ordered by how strongly the researchers Mojtaba Sadegh trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
- Inference from Iterative Simulation Using Multiple Sequences
- Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
Their papers
- Toward diagnostic model calibration and evaluation: Approximate Bayesian computation (2013) — 184 citations
- Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework (2017) — 274 citations
- The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM(ABC) (2015) — 47 citations
- Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation (2013) — 67 citations
- Water Resources Allocation Using Solution Concepts of Fuzzy Cooperative Games: Fuzzy Least Core and Fuzzy Weak Least Core (2011) — 69 citations