基于谱分析的非平稳时间序列中的潜周期研究

时间序列的频域分析并不如时域分析应用广泛,但其弥补了时域分析的不足:能够把时间序列分解为具有不同振幅,相位和频率的周期分量的叠加,找出原序列中隐含的主要周期分量,并从周期波动的角度对序列进行解释.针对非平稳时间序列进行研究,利用B样条函数为基底并引入惩罚项,提取序列中的趋势项之后,再根据样本谱密度理论得到时序数据中的潜周期,最终将原始时间序列分解为趋势项,周期项和随机扰动项.数据模拟部分验证了通过B样条估计并提取的趋势项具有较高的精确度,并会对周期项的提取产生积极的影响.实际数据部分使用了黄金价格的月度数据,得到了长,中,短三个波动周期这一有意义的结论,验证了本方法的可行性和有效性.     

存在趋势和周期特征的非平稳时间序列的建模及其应用

本文研究存在未知周期和趋势的非平稳时间序列的估计问题.将经典的时间序列分解模型写成一个含有未知参数的部分线性模型,首先采用B-样条逼近未知时间趋势,然后利用惩罚最小二乘回归法得到未知周期、周期序列和趋势的估计.本文还给出估计量的理论性质,包括周期估计的相合性以及周期序列和趋势估计的渐近性质.模拟研究展现了本文方法的优越...     

负超可加相依样本密度函数核估计的相合性

本文研究负超可加相依样本的密度函数核估计相合性.利用负超可加相依序列的不等式与性质,获得了密度函数核估计的逐点相和性和一致相和性以及r阶矩相和性.     

带有长期趋势的近似周期时间序列的刻度变换估计

近似周期时间序列具有近似的周期趋势,即近似周期性.所谓近似周期性是指它看起来有周期性,但是每个周期的长度不是常数,比如太阳黑子数序列.近似周期时间序列在社会经济现象建模中有着广泛的应用前景.对于近似周期时间序列,关键在于刻画它的近似周期趋势,因为一旦近似周期趋势被刻画出来它就可以作为一个普通的时间序列来处理.然而,关于近似周期趋势刻画的研究却很少. 本文首先建立一些必要的理论,特别地,提出了带长度压缩的保形变换概念,并且得到了带长度压缩的线性保形变换的充分必要,然后基于此理论作者提出了一种估计尺度变换的方法,该方法可以很好地估计出近似周期趋势.最后,对一个仿真实例进行了分析.结果表明,本文所提出的方法强力有效.     

部分函数型线性可加分位数回归模型

文章结合可加分位数回归模型和函数型线性分位数回归模型,提出了部分函数型线性可加分位数回归模型.我们采用函数型主成分基函数逼近斜率函数,B-样条基函数逼近可加函数,提出了模型的估计方法;在一些基本的假设条件下,给出了斜率函数估计和可加函数估计的收敛速度;最后通过模拟计算和应用实例表明了所提方法的有效性.     

时间序列期望和方差函数的半参数估计方法

以二阶差分序列为基础,针对相关系数平稳时间序列,给出了其期望函数与方差函数的半参数估计形式.核方法的运用使得无需假定非周期项的具体形式就能给出相应估计结果,避免了可能出现的假定错误.进一步,通过选取不同的判定函数,得到相应方差函数的估计结果,并对此类方法进行了理论上的总结.最后通过仿真实验验证了所提出方法的有效性.     

q元m序列非周期自相关函数的估计与M序列的分段线性化

序列的非周期自相关函数的估计,具有良好非周期自相关性的序列的构造,以及非线性M序列的相关性等方面已有的成果较少.著名的Barker序列当长度大于13时是否存在的问题尚未完全解决,L序列的非周期自相关函数的估计仅在长度较短时有一些数值计算结果,文献曾估计了一类二元序列非周期自相关函数的上界.最近,章照止巧妙地应用组合数学方法估计了状态两两不同的二元序列中一元的个数(在这基础     

基于众数回归的部分函数型线性可加模型的稳健估计

本文讨论部分函数型线性可加模型参数的稳健估计,该模型由经典的可加回归模型和函数型线性模型组合而成.采用B-样条基函数对模型中斜率函数和非参数可加函数进行近似,然后通过最大化众数回归目标函数得到基于众数回归的估计.在一些正则条件下,本文给出估计的收敛速度和渐近分布.最后通过模拟计算和应用实例以表明所提方法的有效性.模拟结果表明,该方法不仅具有稳健性,即不易受污染数据或厚尾分布的影响,而且在信噪比较大时可以与最小二乘方法有相同的表现.     

一类广义耦合的非线性波动方程组时间周期解的存在性

研究了一类广义耦合的非线性波动方程组关于时间周期解的问题.首先利用Galerkin方法构造近似时间周期解序列,然后利用先验估计和Laray-Schauder不动点原理,证明近似时间周期解序列的收敛性,从而得到该问题时间周期解的存在性.     

多类型复发事件下变系数加性乘积比率回归模型

本文基于多类型复发事件数据,讨论了一个新的加性乘积比率回归模型,该模型包括两部分,其中第一部分为可加Aalen模型,其中协变量影响为加性的且与时间有关.第二部分为Cox回归模型,其中协变量有乘性影响.利用估计方程的方法,给出了该模型中未知参数和非参数函数的一种估计方法,并利用现代经验过程理沦证明了所得估计的相合性和渐近正态性.     

Qualitative Analysis of Bifurcating Solutions in the Lengyel-Epstein Model

One of the most fundamental problems in theoretical biology is to explain the mechanisms by which patterns and forms are created in the＇living world. In his seminal paper ＂The Chemical Basis of Morphogenesis＂, Turing showed that a system of coupled reaction-diffusion equations can be used to describe patterns and forms in biological systems. However, the first experimental evidence to the Turing patterns was observed by De Kepper and her associates（1990） on the CIMA reaction in an open unstirred reactor, almost 40 years after Turing＇s prediction. Lengyel and Epstein characterized this famous experiment using a system of reaction-diffusion equations. The Lengyel-Epstein model is in the form as follows     

(0,1 ;0)-INTERPOLATION ON INFINITE INTERVAL (-∞, +∞)

In this paper, we study the explicit representation and convergence of (0, 1; 0)-interpolation on infinite interval, which means to determine a polynomial of degree ≤ 3n - 2 when the function values are prescribed at two set of points namely the zeros of Hn(x) and H′n(x) and the first derivatives at the zeros of H′n(x).     

RECENT PROGRESS ON SPHERICAL HARMONIC APPROXIMATION MADE BY BNU RESEARCH GROUP ——In memory of Professor Sun Yongsheng

As early as in 1990, Professor Sun Yongsheng, suggested his students at Beijing Normal University to consider research problems on the unit sphere. Under his guidance and encouragement his students started the research on spherical harmonic analysis and approximation. In this paper, we incompletely introduce the main achievements in this area obtained by our group and relative researchers during recent 5 years （2001-2005）. The main topics are： convergence of Cesaro summability, a.e. and strong summability of Fourier-Laplace series; smoothness and K-functionals; Kolmogorov and linear widths.     

A REPRESENTATION FORMULA RELATED TO SCHR(O)DINGER OPERATORS

Schr(o)dinger operator is a central subject in the mathematical study of quantum mechanics.Consider the Schrodinger operator H = -△ V on R, where △ = d2/dx2 and the potential function V is real valued. In Fourier analysis, it is well-known that a square integrable function admits an expansion with exponentials as eigenfunctions of -△. A natural conjecture is that an L2 function admits a similar expansion in terms of "eigenfunctions" of H, a perturbation of the Laplacian (see [7], Ch. Ⅺ and the notes), under certain condition on V.     

Journal of the Operations Research Society of China Special issue on Operations Research in Healthcare Management

正Guest Editors:Hong Chen,Shanghai Jiao Tong University,Shanghai,China Guohua Wan,Shanghai Jiao Tong University,Shanghai,China David Yao,Columbia University,New York,USA Scope:Healthcare delivery worldwide has been fraught with high cost,low efficiency and poor quality of patient care service.For the field of operations research(OR),healthcare offers some of the biggest challenges as well as best opportunities in     

ANALYSIS IN THEORY AND APPLICATIONS Vol. 30, 2014 CONTENTS

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An alternative mathematical algorithm for the photo- and videokeratoscope

Due to the resolution of current laser technology, the accuracy of corneal topography as measured by the videokeratoscope is no longer adequate to provide precise enough data for refractive surgery or for the fitting of customized contact lenses. We present an algorithm for recovering corneal topography that makes use of modern differential geometric techniques and numerical descent in Sobolev spaces. We believe this algorithm may be used with the photo- and videokeratoscope to increase the accuracy of the recovered corneal topography.     

A note on Sobolev orthogonality for Laguerre matrix polynomials

Let {Ln(A,λ)(x)}n≥0 be the sequence of monic Laguerre matrix polynomials defined on [0, ∞) by Ln(A,λ)(x)=n!/(-λ)n∑nk=0(-λ)κ/k!(n-1)! (A I)n[(A I)k]-1 xk,where A ∈ Cr×r. It is known that {Ln(A,λ)(x)}n≥0 is orthogonal with respect to a matrix moment functional when A satisfies the spectral condition that Re(z) ＞ - 1 for every z ∈σ(A).In this note we show that forA such that σ(A) does not contain negative integers, the Laguerre matrix polynomials Ln(A,λ) (x) are orthogonal with respect to a non-diagonal SobolevLaguerre matrix moment functional, which extends two cases: the above matrix case and the known scalar case.     

CONTENTS OF VOLUME 30

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