Estimating structured correlation matrices in smooth Gaussian random field models

By Wei-Liem Loh, T. Lam. 2000

85 citations recorded by the source corpus.

Subfields: Environmental Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/55fdd2f19ba0f08705bd0f8713d24da1493dd948

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Ethan B. Anderes
2. Wei-Liem Loh
3. Francky Fouedjio

In Management Science and Operations Research

1. Ethan B. Anderes
2. Wei-Liem Loh

In Statistics and Probability

1. Ethan B. Anderes
2. Wei-Liem Loh
3. Francky Fouedjio

Citations in the corpus

• Fixed-domain asymptotics for a subclass of Matern-type Gaussian random fields (2005, background): “Recently, Loh and Lam [6] showed that, when γ = 2, sieve maximum likelihood estimators of θ1, .”
• On the consistent separation of scale and variance for Gaussian random fields (2009, background): “In related work, Loh [23] shows that maximum likelihood estimates of scale and variance parameters in a non-isotropic multiplicative Matérn model are consistent when ν = 3/2 (similar results for the Gaussian autocovariance model can be found in [24]).”