<--- Back to Details
First PageDocument Content
Expert elicitation / Scientific method / Statistical theory / Elicitation / Geologic modelling / Uncertainty / Quartile / Transect / Science / Statistics / Knowledge
Date: 2015-06-17 07:11:45
Expert elicitation
Scientific method
Statistical theory
Elicitation
Geologic modelling
Uncertainty
Quartile
Transect
Science
Statistics
Knowledge

Solid Earth, 6, 727–745, 2015 www.solid-earth.netdoi:se © Author(sCC Attribution 3.0 License. Uncertainty in mapped geological boundaries held by a national

Add to Reading List

Source URL: www.solid-earth.net

Download Document from Source Website

File Size: 183,13 KB

Share Document on Facebook

Similar Documents

Lipschitz Robustness of Finite-state Transducers Thomas A. Henzinger, Jan Otop, Roopsha Samanta IST Austria Abstract We investigate the problem of checking if a finite-state transducer is robust to uncertainty in

Lipschitz Robustness of Finite-state Transducers Thomas A. Henzinger, Jan Otop, Roopsha Samanta IST Austria Abstract We investigate the problem of checking if a finite-state transducer is robust to uncertainty in

DocID: 1xW24 - View Document

Extended Abstract: Risk-Sensitive Planning with Dynamic Uncertainty Liana Marinescu Department of Informatics, King’s College London

Extended Abstract: Risk-Sensitive Planning with Dynamic Uncertainty Liana Marinescu Department of Informatics, King’s College London

DocID: 1xVZm - View Document

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay Abstract—Understanding and accounting for uncertainty is critical to effective

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay Abstract—Understanding and accounting for uncertainty is critical to effective

DocID: 1xVWY - View Document

Quantifying information and uncertainty Alexander Frankel and Emir Kamenica∗ University of Chicago JuneAbstract

Quantifying information and uncertainty Alexander Frankel and Emir Kamenica∗ University of Chicago JuneAbstract

DocID: 1xVoE - View Document

Planning Under Uncertainty with Temporally Extended Goals Alberto Camacho ∗ Department of Computer Science University of Toronto. Canada.

Planning Under Uncertainty with Temporally Extended Goals Alberto Camacho ∗ Department of Computer Science University of Toronto. Canada.

DocID: 1xV65 - View Document