Name
Title | ||
|---|---|---|
Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives |
Abstract | ||
|---|---|---|
A wavelet-based method is proposed to obtain accurate estimates of curves in more than one dimension and of their derivatives. By means of simulation studies, this novel method is compared to another locally-adaptive estimation technique for multidimensional functional data, based on free-knot regression splines. This comparison shows that the proposed method is particularly attractive when the curves to be estimated present strongly localized features. The multidimensional wavelet estimation method is thus applied to multi-lead electrocardiogram records, where strongly localized features are indeed expected. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.csda.2011.12.016 | Computational Statistics & Data Analysis |
Keywords | Field | DocType |
novel method,electrocardiogram record,accurate estimate,localized feature,functional data analysis,wavelet-based method,multidimensional wavelet estimation method,multidimensional curve,multidimensional functional data,free-knot regression spline,locally-adaptive estimation technique,curve fitting | Econometrics,Functional data analysis,Multivariate adaptive regression splines,Derivative estimation,Statistics,Mathematics,Wavelet | Journal |
Volume | Issue | ISSN |
56 | 6 | 0167-9473 |
Citations | PageRank | References |
4 | 0.59 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Pigoli | 1 | 5 | 0.97 |
| Laura M. Sangalli | 2 | 43 | 5.37 |