Smoothing regional maps using empirical Bayes predictors
By Noel Cressie. 2010
48 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/aedf4c276119ef248b73f3aa62a1079865d180b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Environmental Engineering
- Christopher K. Wikle
- Jay M. Ver Hoef
- Catherine A. Calder
- Noel Cressie
- James S. Clark
- Marc Kéry
- Francky Fouedjio
- Mevin B. Hooten
In Statistics and Probability
- Christopher K. Wikle
- Jay M. Ver Hoef
- Catherine A. Calder
- Noel Cressie
- James S. Clark
- Micha Mandel
- Finn Lindgren
- Francky Fouedjio
Citations in the corpus
- Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. (2009, methodology): “…try to account for the variability in P̂, but formal inference is usually approximate (e.g., Morris 1983a, b); one commonly used approximation is based on multivariable differential calculus and Taylor-series expansions of estimators (e.g., Prasad and Rao 1990, Cressie 1992, Rao 2003:section 6.2).”