Matthew S. Horritt

2002–2010

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 14 researchers here, as inferred from the citation graph.

Whom Matthew S. Horritt trusts overall

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

  1. Keith Beven
  2. A. Binley
  3. Paul D. Bates

Who trusts Matthew S. Horritt overall

  1. Keith Beven
  2. Francesco Dottori
  3. Florian Pappenberger
  4. L. Alfieri
  5. Roberta-Serena Blasone
  6. Jasper A. Vrugt

Papers from Matthew S. Horritt's perspective

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

  1. The future of distributed models: model calibration and uncertainty prediction.
  2. Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
  3. At-a-site variation and minimum flow resistance for mountain rivers
  4. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
  5. Dalton Medal Lecture: How far can we go in distributed hydrological modelling?
  6. Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
  7. Approximate Bayesian computation in population genetics.
  8. Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
  9. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
  10. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling

Their papers