标题
Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain
作者
关键词
-
出版物
WATER RESOURCES RESEARCH
Volume 52, Issue 8, Pages 6643-6655
出版商
American Geophysical Union (AGU)
发表日期
2016-08-05
DOI
10.1002/2016wr018768
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes
- (2016) Stefano Castruccio et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Bayesian hierarchical modeling of extreme hourly precipitation in Norway
- (2014) Anita Verpe Dyrrdal et al. ENVIRONMETRICS
- A regional Bayesian hierarchical model for flood frequency analysis
- (2014) Hongxiang Yan et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Incorporating spatial dependence in regional frequency analysis
- (2014) Zhuo Wang et al. WATER RESOURCES RESEARCH
- Spatiotemporal hierarchical modelling of extreme precipitation in Western Australia using anisotropic Gaussian random fields
- (2013) Pragalathan Apputhurai et al. ENVIRONMENTAL AND ECOLOGICAL STATISTICS
- A hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes
- (2013) M. R. Najafi et al. HYDROLOGICAL PROCESSES
- Analysis of runoff extremes using spatial hierarchical Bayesian modeling
- (2013) Mohammad Reza Najafi et al. WATER RESOURCES RESEARCH
- A hierarchical max-stable spatial model for extreme precipitation
- (2012) Brian J. Reich et al. Annals of Applied Statistics
- A region-based hierarchical model for extreme rainfall over the UK, incorporating spatial dependence and temporal trend
- (2012) Jonathan Atyeo et al. ENVIRONMETRICS
- Statistical Modeling of Spatial Extremes
- (2012) A. C. Davison et al. STATISTICAL SCIENCE
- Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow
- (2011) Youlong Xia et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products
- (2011) Youlong Xia et al. JOURNAL OF GEOPHYSICAL RESEARCH
- El Niño-Southern Oscillation influence on winter maximum daily precipitation in California in a spatial model
- (2011) Hongwei Shang et al. WATER RESOURCES RESEARCH
- A Bayesian hierarchical approach to regional frequency analysis
- (2011) B. Renard WATER RESOURCES RESEARCH
- A hierarchical Bayesian spatio-temporal model for extreme precipitation events
- (2010) Souparno Ghosh et al. ENVIRONMETRICS
- Continuous Spatial Process Models for Spatial Extreme Values
- (2010) Huiyan Sang et al. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
- Spatial Hierarchical Modeling of Precipitation Extremes From a Regional Climate Model
- (2010) Daniel Cooley et al. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
- Likelihood-Based Inference for Max-Stable Processes
- (2010) S. A. Padoan et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- (2009) Håvard Rue et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Hierarchical modeling for extreme values observed over space and time
- (2008) Huiyan Sang et al. ENVIRONMENTAL AND ECOLOGICAL STATISTICS
- Characterizing and Modeling Temporal and Spatial Trends in Rainfall Extremes
- (2008) Santosh K. Aryal et al. JOURNAL OF HYDROMETEOROLOGY
- Gaussian predictive process models for large spatial data sets
- (2008) Sudipto Banerjee et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started