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  1. Journal of Agricultural, Biological, and Environmental Statistics
  2. Journal of Agricultural, Biological, and Environmental Statistics : Volume 17
  3. Journal of Agricultural, Biological, and Environmental Statistics : Volume 17, Issue 4, December 2012
  4. Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs
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Journal of Agricultural, Biological, and Environmental Statistics : Volume 22
Journal of Agricultural, Biological, and Environmental Statistics : Volume 21
Journal of Agricultural, Biological, and Environmental Statistics : Volume 20
Journal of Agricultural, Biological, and Environmental Statistics : Volume 19
Journal of Agricultural, Biological, and Environmental Statistics : Volume 18
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17, Issue 4, December 2012
Bayes Inference for a Tractable New Class of Non-symmetric Distributions for 3-Dimensional Rotations
A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series
Bayes Factor Based on a Maximum Statistic for Case-Control Genetic Association Studies
Estimating the Number of Genes That Are Differentially Expressed in Both of Two Independent Experiments
A Bayesian Approach to Fitting Gibbs Processes with Temporal Random Effects
Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs
Inference for Size Demography From Point Pattern Data Using Integral Projection Models
Comments on: Inference for Size Demography From Point Pattern Data Using Integral Projection Models ( Journal of Agricultural, Biological, and Environmental Statistics , Volume 17 , Issue 4 )
Comments on: Inference for Size Demography From Point Pattern Data Using Integral Projection Models ( Journal of Agricultural, Biological, and Environmental Statistics , Volume 17 , Issue 4 )
Comments on: Inference for Size Demography From Point Process Data Using Integral Projection Models
Rejoinder ( Journal of Agricultural, Biological, and Environmental Statistics , Volume 17 , Issue 4 )
Richard E. Plant: Spatial Data Analysis in Ecology and Agriculture Using R : CRC Press/Taylor & Francis Group, 2012
Claus Thorn Ekstrom and Helle Sorensen: Statistical Data Analysis for the Life Sciences
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17, Issue 3, September 2012
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17, Issue 2, June 2012
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17, Issue 1, April 2012
Journal of Agricultural, Biological, and Environmental Statistics : Volume 16
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15
Journal of Agricultural, Biological, and Environmental Statistics : Volume 14
Journal of Agricultural, Biological, and Environmental Statistics : Volume 13
Journal of Agricultural, Biological, and Environmental Statistics : Volume 12
Journal of Agricultural, Biological, and Environmental Statistics : Volume 11
Journal of Agricultural, Biological, and Environmental Statistics : Volume 10
Journal of Agricultural, Biological, and Environmental Statistics : Volume 9
Journal of Agricultural, Biological, and Environmental Statistics : Volume 8
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7
Journal of Agricultural, Biological, and Environmental Statistics : Volume 6

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Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs

Content Provider Springer Nature Link
Author Ruppert, David Shoemaker, Christine A. Wang, Yilun Li, Yingxing Bliznyuk, Nikolay
Copyright Year 2012
Abstract Bayesian MCMC calibration and uncertainty analysis for computationally expensive models is implemented using the SOARS (Statistical and Optimization Analysis using Response Surfaces) methodology. SOARS uses a radial basis function interpolator as a surrogate, also known as an emulator or meta-model, for the logarithm of the posterior density. To prevent wasteful evaluations of the expensive model, the emulator is built only on a high posterior density region (HPDR), which is located by a global optimization algorithm. The set of points in the HPDR where the expensive model is evaluated is determined sequentially by the GRIMA algorithm described in detail in another paper but outlined here. Enhancements of the GRIMA algorithm were introduced to improve efficiency. A case study uses an eight-parameter SWAT2005 (Soil and Water Assessment Tool) model where daily stream flows and phosphorus concentrations are modeled for the Town Brook watershed which is part of the New York City water supply. A Supplemental Material file available online contains additional technical details and additional analysis of the Town Brook application.
Starting Page 623
Ending Page 640
Page Count 18
File Format PDF
ISSN 10857117
Journal Journal of Agricultural, Biological, and Environmental Statistics
Volume Number 17
Issue Number 4
e-ISSN 15372693
Language English
Publisher Springer-Verlag
Publisher Date 2012-05-12
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Bayesian calibration Computer experiments Groundwater modeling Inverse problems Markov chain Monte Carlo Radial basis functions SOARS Surrogate model SWAT model Town Brook watershed Uncertainty analysis Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type Text
Resource Type Article
Subject Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty
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