Comparing the shapes of regression functions

By Nancy E. Heckman, Ruben H. Zamar. 2000

71 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b0a91e2fb63e60e83d04c4c1ee407d2a1a08016f

How researchers see this paper

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

In Management Science and Operations Research

1. Wenjing Yang
2. H. Muller
3. Pai-Ling Li
4. Joel A. Dubin
5. Ulrich Stadtmüller
6. Jeng-Min Chiou
7. Han Lin Shang

In Statistics and Probability

1. Jeng-Min Chiou
2. H. Muller
3. Wenjing Yang
4. Joel A. Dubin
5. Ulrich Stadtmüller
6. Pai-Ling Li
7. Jane-ling Wang
8. Han Lin Shang

Citations in the corpus

• Functional singular component analysis (2011, methodology): “However, established methods for quantifying functional correlation, which include FCCA, dynamical correlation (Dubin and Müller, 2005) and shape-based methods (Heckman and Zamar, 2000), all require densely recorded data and are not geared towards situations with sparse and irregular measurements.”
• Dynamical Correlation for Multivariate Longitudinal Data (2005, methodology): “Related time-averaged correlation measures between two regression functions were discussed by Heckman and Zamar (2000). A limitation of the proposed dynamical correlation, especially in the application to longitudinal studies, is that the number of repeated measurements per subject cannot be too sma”
• Functional clustering and identifying substructures of longitudinal data (2007, methodology): “Other related studies include grouping curves based on shape similarity by using rank correlation between two functions (Heckman and Zamar, 2000) and functional discriminant analysis based on functional logistic regression (Leng and Müller, 2006).”
• Functional Modelling and Classification of Longitudinal Data. (2005, unknown): “, 1998 ; Heckman & Zamar , 2000 ; Dubin & Muïler , 2005 ) .”
• Functional Modelling and Classification of Longitudinal Data * (2005, background): “The difficulties to find proper regularization prompted a search for alternative functional correlation measures (Service et al., 1998; Heckman & Zamar, 2000; Dubin & Müller, 2005).”