| Autor: |
Hajj Chehade, Nabil, Pottie, Greg |
| Jazyk: |
angličtina |
| Rok vydání: |
2007 |
| Předmět: |
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| Zdroj: |
Hajj Chehade, Nabil; & Pottie, Greg. (2007). Spatial Sampling for Model Selection. Center for Embedded Network Sensing. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/4t1513p0 |
| Popis: |
Many applications in sensor networks require the estimation of spatial environmental fields. We focus on the applications where the estimation is done by fitting a parametric model to the field. We study the case when the parametric model structure is unknown. Instead of assuming a particular structure, we introduce uncertainty by assuming that the spatial field is one of multiple plausible models. We then set a likelihood test for the model selection and find a spatial sampling strategy that optimizes the test. The strategy finds the locations that result in a minimum probability of error in the selection of the correct model structure. The strategy is introduced by Atkinson and Fedorov and is called T-design. We present as well the benefit over the passive (random strategy) data collection. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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