随机分数阶热方程的拟似然估计

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
Yaqin Sun , Jingqi Han , Litan Yan
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引用次数: 0

摘要

本文利用拟似然方法,考虑分数阶热方程∂∂tu(t,x)=Δαu(t,x)dt+σẆ(t,x),t≥0,x∈r的参数估计,初始条件为u(0,x)=0,其中Ẇ(t,x)为时空白噪声,Δα=−(−Δ)α/2为分数阶拉普拉斯算子,α∈(1,2)。利用拟似然方法得到了σ2的估计量,并给出了在若干离散点{xj=jh,j=0,1,2,…,n}上,当h=h(n)→0,nh1+γ→R≠0时,当n→∞时,空间过程x∈u(t,x)可以被观测到的渐近性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quasi-likelihood estimation for stochastic fractional heat equation
By the quasi-likelihood method, in this note we consider parameter estimation of the fractional heat equation tu(t,x)=Δαu(t,x)dt+σẆ(t,x),t0,xRwith initial condition u(0,x)=0, where Ẇ(t,x) is a space–time white noise and Δα=(Δ)α/2 is the fractional Laplacian with α(1,2]. By using the quasi-likelihood method we obtain the estimator of σ2 and give the asymptotic behaviors of the estimator provided that the spatial process xu(t,x) can be observed at some discrete points {xj=jh,j=0,1,2,,n} with h=h(n)0, nh1+γR0 for some 0γ<1, as n.
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来源期刊
Statistics & Probability Letters
Statistics & Probability Letters 数学-统计学与概率论
CiteScore
1.60
自引率
0.00%
发文量
173
审稿时长
6 months
期刊介绍: Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature. Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission. The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability. The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.
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