We have devised a simple numerical technique to treat rugged data points that arise due to the “insufficient gain setting error” (or quantization error) of a digital instrument. This is a very wide spread problem that all experimentalists encounter some time or the other and they are forced to deal with it by suitable adjustments of instrument gains and other relevant parameters. But mostly thi...

In this paper we consider the identification of a linear module that is embedded in a dynamic network using noisy measurements of the internal variables of the network. This is an extension of the errors-in-variables (EIV) identification framework to the case of dynamic networks. The consequence of measuring the variables with sensor noise is that the prediction error identification methods no ...

Highly unique pattern of the vein within the finger makes it robust biometric characteristic which is instrumental in achieving low error rates for verification. Vascular pattern is reliable in many terms as they are characterized by very low error rates, good spoofing resistance and user convenience when compared with other existing biometric modalities. In this paper, we present an extensive ...

background depression is a mental health state whose frequency has been increasing in modern societies. it imposes a great burden, because of the strong impact on people’s quality of life and happiness. depression can be reliably diagnosed and treated in primary care: if more people could get effective treatments earlier, the costs related to depression would be reversed. the aim of this study ...

This paper establishes that so-called instrumental variables enable the identification and the estimation of a fully nonparametric regression model with Berkson-type measurement error in the regressors. An estimator is proposed and proven to be consistent. Its practical performance and feasibility are investigated via Monte Carlo simulations as well as through an epidemiological application inv...

This paper proposes an algorithm for aligning singing in polyphonic music audio with textual lyrics. As preprocessing, the system uses a voice separation algorithm based on melody transcription and sinusoidal modeling. The alignment is based on a hidden Markov model speech recognizer where the acoustic model is adapted to singing voice. The textual input is preprocessed to create a language mod...

This paper introduces a rank-based test for the instrumental variables regression model that dominates the Anderson-Rubin test in terms of Þnite sample size and asymptotic power in certain circumstances. The test has correct size for any distribution of the errors with weak or strong instruments. The test has noticeably higher power than the Anderson-Rubin test when the error distribution has t...

Consistent estimation of the tax revenue elasticity is complicated by the endogenous response of GDP to changes in tax rates and measurement error in national accounts statistics. This paper exploits the significant response of real GDP growth of Sub-Saharan African countries to exogenous international commodity price and rainfall shocks to construct instrumental variables estimates of the tax ...

The patterning of multicellular organisms is robust to environmental, genetic, or stochastic fluctuations. Mathematical modeling is instrumental in identifying mechanisms supporting this robustness. The principle of lateral inhibition, whereby a differentiating cell inhibits its neighbors from adopting the same fate, is frequently used for selecting a single cell out of a cluster of equipotent ...