نتایج جستجو برای: asymptotic variance

تعداد نتایج: 167957  

2017

APPENDIX: Lost Relatives of the Gumbel Trick Here we provide proofs for the results stated in the main text, together with additional supporting lemmas required for these proofs. A. Comparison of Gumbel and Exponential tricks In Section 2.3.1 we analyzed the asymptotic efficiency of different estimators of Z by measuring their asymptotic variance. (As all our estimators in the full-rank perturb...

Journal: :IEEJ Transactions on Electronics, Information and Systems 1999

Journal: :Annals of Statistics 2021

We present a novel approach to test for heteroscedasticity of nonstationary time series that is based on Gini’s mean difference logarithmic local sample variances. In order analyse the large behaviour our statistic, we establish new limit theorems U-statistics dependent triangular arrays. derive asymptotic distribution statistic under null hypothesis constant variance and show consistent agains...

Journal: :IEEE Trans. Signal Processing 1999
Sari Peltonen Pauli Kuosmanen Jaakko Astola

When selecting a filter for an application, it is often essential to know the behaviour of the filter in presence of contamination. This robustness of a filter is traditionally explored by means of influence function (IF) and change-of-variance function (CVF). However, as these are asymptotic measures there is uncertainty of the applicability of the obtained results to the finite length filters...

2016
WenWu Wang Li Yu

Differenced estimators of variance bypass the estimation of regression function and thus are simple to calculate. However, there exist two problems: most differenced estimators do not achieve the asymptotic optimal rate for the mean square error; for finite samples the estimation bias is also important and not further considered. In this paper, we estimate the variance as the intercept in a lin...

2016
Stéphane Guerrier Roberto Molinari

We present a general M-estimation framework for inference on the wavelet variance. This framework generalizes the results on the scalewise properties of the standard estimator and extends them to deliver the joint asymptotic properties of the estimated wavelet variance vector. Moreover, this is achieved by extending the estimation of the wavelet variance to multidimensional random fields and by...

Journal: :Proceedings of the American Mathematical Society 2018

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