Spatial Expectile Predictions for Elliptical Random Fields

Thanks to the joint convergence result on the tail expectile and quantile processes, in Theorem 1, we derive the joint asymptotic normality of both empirical inter- mediate

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Let us finally mention that our results could easily be lifted to Alternating-time µ- calculus (AMC) [AHK02]: the PTIME algorithm proposed in [AHK02] for explicit CGSs, which

The final expression for the Noether charge must contain only terms linear in a and a † (it cannot mix states with different particle content) because, since it is a conserved

Second, in the Hall-Welsh subclass of heavy-tailed models (Hall and Welsh, 1985) which contains most of the heavy-tailed distributions typically encountered in extreme value

In this case, the laser pump excites the titanium film and, through a thermoelastic process, leads to the generation of picosecond acoustic pulses that propagate within the copper

QR model has been generalized to several models for panel or longitudinal data, xed eects model [3], instru- mental variable model [11], linear mixed model [10], penalized xed

Keywords: Kernel estimator; Spatial regression; Random fields; Strong mixing coef- ficient; Dimension reduction; Inverse Regression.. The set S can be discret, continuous or the set