Quantile regression offers a convenient tool to access the relationship between a response and covariates in a comprehensive way and it is appealing especially in applications where interests are on the tails of the response distribution. However, due to data sparsity, the finite sample estimation at tail quantiles often suffers from high variability. To improve the tail estimation efficiency, ...

This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially correlated with the independent variables. We provide conditions under which the slope parameter estimator is asymptotically Gaussian. Monte Carlo studies are carried out to investigate the finite sample performance of the proposed method in comparison with other candidate methods. Th...

Our aim is to estimate the unknown slope function in the functional linear model when the response Y is real and the random function X is a second order stationary and periodic process. We obtain our estimator by minimizing a standard (and very simple) mean-square contrast on linear finite dimensional spaces spanned by trigonometric bases. Our approach provides a penalization procedure which al...

Asymptotic Waveform Estimator (AWE) is a waveform estimator for general RC networks which can be used to estimate signal propagation delays through VLSI interconnects. The interconnects are modeled as resistors and capacitors connected such that each node has a capacitance to ground. State variable approach is used to obtain the steady-state asymptotes and the Forward Euler approximation for th...

A leading multivariate extension of the univariate quantiles is the so-called “spatial” or “geometric” notion, for which sample versions are highly robust and conveniently satisfy a Bahadur-Kiefer representation. Another extension of univariate quantiles has been to univariate U-quantiles, on the basis of which, for example, the well-known Hodges-Lehmann location estimator has a natural formula...

The following paper deals with the estimation of partial parameters for non stationary sinusoids. First the existing bias for the analysis of non stationary sinusoids in a standard estimator is discussed. Then a new approach to bias reduction is proposed that consists of frequency slope estimation and demodulation to reduce the bias of the standard parameter estimator. The new approach does not...

Resume We outline in this paper the following view of linguistic meanings. Meanings are planned in the course of speech. The plans, we call them discourse plans (DP), combine referential structure, cognitive situation structure and communicative structure. If and when the DP is realizable, it is transformed into a meaning, which from a technical perspective, is a second order typed lambda term....

The Bacillus subtilis gene senS, when present in high copy number, stimulates the expression of several extracellular protein genes during the onset of stationary phase, e.g. aprE. A novel integration vector, pINT, was constructed for transcription expression studies; it employed a unique method of promoter insert production for fusion with the lacZ reporter gene. Deletions were made of the 5' ...