A hidden renewal model for monitoring aquatic systems biosensors

Abstract : This article proposes a method to model signals of oysters' openings over time using a four-state renewal process. Two of them are of particular interest and correspond to instants when the animals are open or closed. An estimator of the cumulative jump rate of the renewal process is provided. It relies on observations of the jumps between the four states. Here these measures are not available but the observed signal is assumed to take ranges of real values according to this underlying process. A procedure to estimate a probability density function that summarizes the information of the signal is explained. This leads to estimation of the hidden renewal process and of its cumulative jump rate for each oyster. We propose to classify these estimated functions for a group of oysters in order to discriminate these animals according to their health status. Such a diagnosis is essential when using these animals as biosensors for water quality assessment.
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00958616
Contributor : Gilles Durrieu <>
Submitted on : Thursday, March 13, 2014 - 4:03:59 AM
Last modification on : Saturday, April 20, 2019 - 1:57:03 AM

Links full text

Identifiers

Collections

Citation

Romain Azais, Raphaël Coudret, Gilles Durrieu. A hidden renewal model for monitoring aquatic systems biosensors. Environmetrics, Wiley, 2014, 25 (3), pp.189-199. ⟨10.1002/env.2272⟩. ⟨hal-00958616⟩

Share

Metrics

Record views

768