Results 1 to 10 of about 2,003,143 (288)
Weak consistency and strong paraconsistency
In a standard sense, consistency and paraconsistency are understood as, respectively, the absence of any contradiction and as the absence of the ECQ (“E contradictione quodlibet”) rule that allows us to conclude any well formed formula from any ...
Gemma Robles
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On the strong consistency of asymptotic M-estimators [PDF]
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators.
Chafai, Djalil, Concordet, Didier
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Regression Estimation with Errors in the Variables via the Laplace Transform
This paper considers nonparametric regression estimation with errors in the variables. It is a standard assumption that the characteristic function of the covariate error does not vanish on the real line. This assumption is rather strong.
Huijun Guo, Qingqun Bai
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Statistical inference for nonergodic weighted fractional Vasicek models
A problem of drift parameter estimation is studied for a nonergodic weighted fractional Vasicek model defined as $d{X_{t}}=\theta (\mu +{X_{t}})dt+d{B_{t}^{a,b}}$, $t\ge 0$, with unknown parameters $\theta >0$, $\mu \in \mathbb{R}$ and $\alpha :=\theta ...
Khalifa Es-Sebaiy +2 more
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Parameter estimation in mixed fractional stochastic heat equation
The paper is devoted to a stochastic heat equation with a mixed fractional Brownian noise. We investigate the covariance structure, stationarity, upper bounds and asymptotic behavior of the solution.
Diana Avetisian, Kostiantyn Ralchenko
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On Consistency of the Nearest Neighbor Estimator of the Density Function for m-AANA Samples
In this paper, by establishing a Bernstein inequality for m-asymptotically almost negatively associated random variables, some results on consistency for the nearest neighbor estimator of the density function are further established.
Xin Liu, Yi Wu, Wei Wang, Yong Zhu
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A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods
The purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem.
Salim Bouzebda, Christophe Chesneau
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A nonparametric test for comparing survival functions based on restricted distance correlation
In this article, we propose an omnibus test for comparing two survival functions under non-proportional hazards. The test statistic is based on a product-limit estimate of the restricted distance correlation, which is closely related to the L2{L}_{2 ...
Zhang Qingyang
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We consider a stochastic differential equation of the form \[ dX_{t}=\theta a(t,X_{t})\hspace{0.1667em}dt+\sigma _{1}(t,X_{t})\sigma _{2}(t,Y_{t})\hspace{0.1667em}dW_{t}\] with multiplicative stochastic volatility, where Y is some adapted stochastic ...
Meriem Bel Hadj Khlifa +3 more
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Research on Strong Cache Consistency Under Generic Cache Replacement Strategy [PDF]
Establishing an accurate cache analysis model helps to predict the cache behavior better, which is vital for network performance analysis and planning.However, existing analysis models for cache consistency studies are based on the Least Recently Used ...
YANG Tao, ZHENG Quan, XU Zhenghuan, SHI Qianbao, PENG Siwei
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