Semiparametric Curve Alignment and Shift Density Estimation: ECG Data Processing Revisited
We address in this contribution a problem stemming from functional data analysis. Assuming that we dispose of a large number of shifted recorded curves with identical shape, the objective is to estimate the time shifts as well as their distribution. Such an objective appears in several biological ap...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2010
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/9743 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Semiparametric Curve Alignment and Shift Density Estimation: ECG Data Processing Revisited
- Nonparametric and Semiparametric Estimation of Upward Rank Mobility Curves
- Optimal Estimation under a Semiparametric Density Ratio Model
- Binned semiparametric Bayesian networks for efficient kernel density estimation
- A Semiparametric Efficient Approach To Label Shift Estimation and Quantification
- Dirichlet Process Mixtures within Semiparametric Bayesian Networks: A Novel Conditional Density Estimation Approach
- Locally Robust Semiparametric Estimation