Selecting the Number of Principal Components in Functional Data
Functional principal component analysis (FPCA) has become the most widely used dimension reduction tool for functional data analysis. We consider functional data measured at ran...
Publications
3 shownA Note on the Efficiency of Sandwich Covariance Matrix Estimation
The sandwich estimator, also known as robust covariance matrix estimator, heteroscedasticity-consistent covariance matrix estimate, or empirical covariance matrix estimator, has...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 2,673
- Institution
- Texas A&M University
External Links
Identifiers
- ORCID
- 0000-0002-5465-9682
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.