Adaptive basis selection for functional data analysis via stochastic penalization
We propose an adaptive method of analyzing a collection of curves which can be, individually, modeled as a linear combination of spline basis functions. Through the introduction of latent Bernoulli variables, the number of basis functions, the variance of the error measurements and the coefficients...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-03022005000200004 |
| Country: | Brazil |
| Oai: | oai:scielo:S1807-03022005000200004 |