Building adaptive estimating equations when inverse of covariance estimation is difficult

By Annie Qu, Bruce G. Lindsay. 2003

63 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/60ec9ab70c7573c883ac199ced281f791a52f1b9

How researchers see this paper

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

In Statistics and Probability

1. Mohsen Pourahmadi
2. Tze Leung Lai
3. Dylan S. Small
4. J. Bowden
5. Clifford Lam
6. Paul R. Rosenbaum
7. Tommaso Cai
8. José R. Zubizarreta

Citations in the corpus

• Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments (2014, unknown): “Also, Qu and Lindsay (2003) proposed similar Gaussian or quadratic estimating equations [19].”
• Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach (2007, methodology): “Qu and Lindsay (2003) developed a dimension reduction approach to combining moment conditions that has better properties than the usual GMM estimator when there are many moment conditions.”
• Covariance Estimation: The GLM and Regularization Perspectives (2011, background): “Accurate modeling and estimation of the covariance structure is important in these application areas (Cannon et al. 2001; Carroll, 2003; Qu and Lindsay, 2003; Ye and Pan, 2006; Fitzmaurice et al. 2009).”