Semiparametric Estimation of a Noise Model with Quantization Errors

Sébastien Li-Thiao-Té (1)

1 CMLA - Centre de Mathématiques et de Leurs Applications

The detectors in mass spectrometers are precise enough to count ion events. In practice, the statistics of chemical noise are affected by large quantization errors and overdispersion because of amplification in the detector. The detector signal is modelled as X =floor(t N) where N represents integer-valued ion counts and t represents the gain parameter. When t <= 1, the gain parameter cannot be recovered without a priori information on N. When t > 1 however, we introduce compatible lattices and derive an estimator for t that is optimal, independent of N and enables subsequent analyses of the ion counts.

Mots clés: parametric estimation; over-dispersion; quantization effects; life sciences signal processing

Domaines: Mathématique discrète [cs.DM]; Statistiques [math.ST]; Théorie [stat.TH]

Sébastien Li-Thiao-Té. Semiparametric Estimation of a Noise Model with Quantization Errors. 2008. ⟨hal-00390325⟩