Optimal elicitation of probabilistic information from experts

By Andrew Curtis, Rachel Wood. Geological Society Special Publication, 2004

54 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geochemistry and Petrology, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/78d24a96ab7bf28f764b6cb3f2ff0f3125c1ba68

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Malcolm Sambridge
2. K. Gallagher
3. P. Rickwood
4. Andrew Jackson
5. T. Bodin
6. Y. Kamer
7. S. Hiemer

In Geochemistry and Petrology

1. Malcolm Sambridge
2. K. Gallagher
3. P. Rickwood
4. Andrew Jackson

In Ocean Engineering

1. Andrew Curtis
2. Malcolm Sambridge
3. K. Gallagher
4. P. Rickwood
5. Andrew Jackson
6. Rachel Wood

Citations in the corpus

• Trans-dimensional inverse problems, model comparison and the evidence (2006, methodology): “In geophysical studies the importance of geological prior information has been widely recognized and some innovative ways of incorporating it into Bayesian methods have been proposed (Mosegaard & Tarantola 1995; Curtis & Lomax 2001; Curtis & Wood 2004 ).”
• A deterministic algorithm for experimental design applied to tomographic and microseismic monitoring surveys (2004, result): “Similar performance was also observed when the algorithm was used to design optimal surveys to elicit knowledge from experts (Curtis & Wood 2004).”