Spatial inference of nitrate concentrations in groundwater
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Publication:2260146
DOI10.1007/s13253-009-0006-xzbMath1306.62363OpenAlexW2137838639MaRDI QIDQ2260146
Dawn B. Woodard, Michael O'Connell, Robert L. Wolpert
Publication date: 5 March 2015
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13253-009-0006-x
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Interpolation of spatial data. Some theory for kriging
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Markov chains for exploring posterior distributions. (With discussion)
- Spatial Modeling of Regional Variables
- Fixed-Width Output Analysis for Markov Chain Monte Carlo
- Poisson/gamma random field models for spatial statistics
- Spatial Poisson Regression for Health and Exposure Data Measured at Disparate Resolutions
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