Adaptive filters from control theory are recursive estimators for time varying parameters. We propose an adaptive filter targeting spatial and temporal correlation parameters, that we conjecture to be more stable in the case of regime shifts. This proposal should be suitable for online environmental monitoring tasks. We illustrate an application to sensor data with a spatio-temporal conditional autoregressive model.

Adaptive filters for time-varying correlation parameters

Michele Lambardi di San Miniato
;
Ruggero Bellio;Luca Grassetti;Paolo Vidoni
2022

Abstract

Adaptive filters from control theory are recursive estimators for time varying parameters. We propose an adaptive filter targeting spatial and temporal correlation parameters, that we conjecture to be more stable in the case of regime shifts. This proposal should be suitable for online environmental monitoring tasks. We illustrate an application to sensor data with a spatio-temporal conditional autoregressive model.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11390/1229784
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