Tapered Covariance: Bayesian Estimation and Asymptotics
By B. Shaby, David Ruppert. 2012
78 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e84113ba699a700bff40c01ba1661d368824069e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Andrew O. Finley
- Abhirup Datta
- Alan E. Gelfand
- Sudipto Banerjee
- David B. Dunson
- Athanasios Kottas
- Timothy E. Hanson
- Keming Yu
In Environmental Engineering
- Abhirup Datta
- Andrew O. Finley
- Sudipto Banerjee
- Alan E. Gelfand
- Noel Cressie
- B. Shaby
- A. C. Davison
- Mikyoung Jun
In Statistics and Probability
- Andrew O. Finley
- Abhirup Datta
- Alan E. Gelfand
- Sudipto Banerjee
- Noel Cressie
- David B. Dunson
- Timothy E. Hanson
- Andrew Gelman
Citations in the corpus
- Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets (2014, methodology): “Sparse methods include covariance tapering (see, e.g., Furrer et al. 2006; Kaufman et al. 2008; Du et al. 2009; Shaby and Ruppert 2012), which introduces sparsity in C(θ) using compactly supported covariance functions.”