线性约束下部分线性模型中估计的渐近性质

考虑回归模型yi=x′iβ+ g(ti) + ei, 0 ≤i ≤nr=Rβ其中(xi,ti)是固定非随机设计点列,xi=(xi1,…,xip)′,β=(β1,…,βp)′(p 1) ,g是定义在[0 ,1]上的未知函数,β是未知待估参数,0≤ ti≤1i,ei 是i.i.d随机误差,且Eei=0 ,Ee2i=σ2 <∞.r是一个J维向量,R是一个J* p列满秩矩阵,基于g的估计取一个非参数权估计,本文讨论了在线性约束下β的最小二乘估计的相合性及渐近正态性.     

WAVELET ESTIMATION IN NONPARAMETRIC MODEL UNDER MARTINGALE DIFFERENCE ERRORS

§1　IntroductionConsider the following heteroscedastic regression model:Yi =g(xi) +σiei,　1≤i≤n,(1.1)whereσ2i=f(ui) ,(xi,ui) are nonrandom design points,0≤x0 ≤x1 ≤...≤xn=1and0≤u0≤u1 ≤...≤un=1,Yi are the response variables,ei are random errors,and f(·) andg(·) are unknown functions defined on closed interval[0 ,1] .It is well known thatregression model has many applications in practical problems,sothe model (1.1) and its special cases have been studied extensively. For instance,…     

一类混合回归模型中估计的收敛速度

考虑回归模型y_i=x_iβ+g(t_i)+e_4,i=1,2,…,n,其中 g(·)是未知光滑函数,β是未知待估参数,e_4是随机误差.设{(x_4,t_4,y_4),1≤i≤n}是 i.i.d.子样.本文首先给出了 g(·)的一类近邻估计n(·),然后基于模型 y_4=x_4β+(t_4)+e_4得到了β的最小二乘估计.在适当条件下,证得了及 g(·)的最终估计(·)的强弱收敛速度.     

误差为NA序列的半参数回归模型估计的r阶矩相合性

对于半参数回归模型 yi=xiβ+g( ti) +ei,i=1 ,2 ,… ,n,本文综合最小二乘法和一般加权方法 ,定义了 β,g( t)的估计量 βn,gn( t) .在误差为 NA序列时 ,得到了 βn,gn( t)的 r ( r≥ 2 )阶矩相合性 .     

一类混合回归模型中估计的收敛速度

考虑回归模型 y_i=x_iβ+g(t_i)+e_i,i=1,2,…n,其中g(·)是未知光滑函数,β是未知待估参数,e_i是随机误差。 设{(x_i,t_i,y_i,),1≤i≤n}是i.i.d.子样。本文首先给出了g(·)的一类近邻估计■_n(·),然后基于模型y_i=x_iβ+■_n(t_i),+e_i得到了β的最小二乘估计■_n。在适当条件下,证得了■_n及g(·)的最终估计■_n~■(·)的强弱收敛速度。     

NA序列半参数回归模型小波估计的强相合性

对于半参数回归模型yi=xiβ+g(ti)+ei,i=1,2,…,n,对误差{ei,1≤i≤n}为NA序列,在适当的条件下研究了未知参数β的小波估计的强相合,同时也得到了未知函数g(t)的小波估计的一致强相合.     

随机截断下部分线性模型中参数估计的渐近性质

考虑部分线性回归模型Yi＝xiβ g(ti) σiej,i＝1，2，…，n其中σi^2＝／f(ui)．当Yi因受某种随机干扰而被右截断时，就截断分布巳知的情形，利用所获得的截断观察数据构造了β，g，f的估计量β^～n，g^～n，f^～n，并在一定条件下，证明了β^～n的渐近正态性，同时得到了g^～n，f^～n的最优收敛速度。     

误差为鞅差序列的半参数回归模型估计的相合性

设半参数回归摸型Y^(n)=β·χi(1) g(l1^(n)) 1 ^(n),i=1,2,…．n,本由最小二乘法和一般加权方法定义的β、g(t)的怙计量βn,gn(t)．在误差为鞅差序列下获得了βn gn(f)的r(≥2)阶平均相合性。     

PA误差下半参数回归模型小波估计的γ-阶矩相合性

对于半参数回归模型yi=xiβ+g(ti)+ei,(1≤i≤n),其中{ei,1≤i≤n}为PA相依误差.在适当的条件下,利用极大部分和的矩不等式方法得到未知回归函数g(x)和未知参数β估计量的r-阶矩相合性.     

Ψ-混合异方差误差下半参数回归模型的加权小波估计

考虑半参数回归模型yi=xiβ+g(ti)+σiei, i=1,2,…,n,其中(zi,ti,ui)是固定设计点列,ei为Ψ-混合随机误差.用小波估计方法得到了参数,非参数及误差方差的加权小波估计量.在相当一般的条件下,得到了这些小波估计量的渐近正态性及弱收敛速度.     

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.     

Instructions for Authors

<正>Submission Authors must use LaTeX for typewriting,and visit our website www.actamath.com to submit your paper.Our address is Editorial Office of Acta Mathematica Sinica,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,P.R.China.     

THE 8~(th) INTERNATIONAL CONGRESS ON INDUSTRIAL AND APPLIED MATHEMATICS

正August 10-14,2015Beijin,China The International Congress on Industrial and Applied Mathematics(ICIAM)is the premier international congress in the field of applied mathematics held every four years under the auspices of the International Council for Industrial and Applied Mathematics.From August 10 to 14,2015,mathematicians,scientists     

Boundedness for commutators of multipliers on Hardy type spaces

In this paper, we study the commutators generalized by multipliers and a BMO function. Under some assumptions, we establish its boundedness properties from certain atomic Hardy space Hb^p（R^n） into the Lebesgue space L^p with p 〈 1.     

A unified approach to certain problems of best local approximation

In this paper we study best local quasi-rational approximation and best local approximation from finite dimensional subspaces of vectorial functions of several variables. Our approach extends and unifies several problems concerning best local multi-point approximation in different norms.     

Towards Excellence in Science Chinese Academy of Sciences

<正>May 26,2014,Beijing Science is a human enterprise in the pursuit of knowledge.The scientific revolution that occurred in the 17th Century initiated the advances of modern science.The scientific knowledge system created by     

THE 8~(th) INTERNATIONAL CONGRESS ON INDUSTRIAL AND APPLIED MATHEMATICS

<正>August 10-14,2015Beijing,ChinaThe International Congress on Industrial and Applied Mathematics(ICIAM)is the premier international congress in the field of applied mathematics held every four years under the auspices of the International Council for Industrial and Applied Mathematics.From August 10 to 14,2015,mathematicians,scientists     

Bounds for the zeros of polynomials

Let P(z)=∑↓j=0↑n ajx^j be a polynomial of degree n. In this paper we prove a more general result which interalia improves upon the bounds of a class of polynomials. We also prove a result which includes some extensions and generalizations of Enestrǒm-Kakeya theorem.