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University of Illinois at Urbana-Champaign
More Efficient Sampling for Bayesian Calibration of Computationally Expensive Hydrologic and Environmental Simulation Models
Abstract
dc:descriptionIn recent years, interest in Bayesian calibration of hydrologic and environmental simulation (HE) models has been growing. The Bayesian approach allows for making statistical inference on unknown parameters and has proved to be an effective method to treat the estimation uncertainty arising from the calibration requirements of these models.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Environmental Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Xie, Hua
- Contributors dc:contributor
-
- Eheart, J. Wayland
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Identifier
- (UMI)AAI3395547
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/72188