On the functional regression model and its finite-dimensional approximations
The problem of linearly predicting a scalar response Y from a functional (random) explanatory variable X = X(t), t ∈ I is considered. It is argued that the term “linearly” can be interpreted in several meaningful ways. Thus, one could interpret that (up to a random noise) Y could be expressed as a l...
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| Other Authors: | , |
| Format: | article |
| Language: | English |
| Published: |
2024
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| Online Access: | https://hdl.handle.net/20.500.12008/48454 |
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