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Extreme-value copulas arise in the asymptotic theory for componentwise maxima of independent random samples. An extreme-value copula is determined by its Pickands dependence function, which is a funct...
The paper considers the problem of robust estimating a periodic function in a continuous time regression model with dependent disturbances given by a general square integrable semimartingale with unk...
Consistency, almost sure convergence and central limit theorems are provided for two nonparametric estimators of the local Hurst function of Gaussian multifractional processes. In the case of multifr...
We consider the problem of estimating the mixing density f from n i.i.d. observations distributed according to amixture density with unknown mixing distribution. In contrast with finite mixtures model...
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas for estimating a smooth density on [0, 1]. We consider a parametrization of Beta distributions in ...
Contingent valuation models are used in Economics to value nonmarket goods and can be expressed as binary choice regression models with one of the regression coe?cients fixed. A ...
We describe a method for quantifying the lack of t in a proposed family of distributions. The method involves estimating the posterior distribu- tion of the Kullback-Leibler information between the ...
The process of calibrating radiocarbon determinations onto the cal- endar scale involves, as a rst stage, the estimation of the relationship between calendar and radiocarbon ages (the radiocarbon ca...
We consider the problem of estimating the slope parameter in functional linear regression, where scalar responses Y1; : : : ; Yn are modeled in dependence of second order stationary random functions...
In this paper we consider nonparametric estimation for dependent data, where the observations do not necessarily come from a linear process. We study density estimation and also discuss associated p...

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