The functional linear array model

By Sarah Brockhaus, Fabian Scheipl, Torsten Hothorn, Sonja Greven. 2015

55 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1f211db351ad7528d9aafc93767f30e8cc185571

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. María Durbán
2. Paul H. C. Eilers
3. Brian D. Marx
4. Sonja Greven
5. Fabian Scheipl
6. Simon N. Wood
7. H. Booth
8. C. Hassall

Citations in the corpus

• A general framework for functional regression modelling (2017, methodology): “Simulations (e.g., Brockhaus et al., 2015b; Scheipl et al., 2015, 2016) back up consistency, as well as appropriate coverage of confidence bands relying on asymptotic normality in the mixed model-based case.”
• Twenty years of P-splines (2015, background): “(2014), to playing a key role in the recent advances in functional data analysis (Scheipl et al., 2015; Brockhaus et al., 2015), among others.”