鞅差序列,martingale difference sequence
1)martingale difference sequence鞅差序列
1.The extension and application of convergence theorem aboutmartingale difference sequence;鞅差序列收敛定理的一个推广及应用
2.Convergence rate of the parametric estimate of the regression model of half-paramter under error beingmartingale difference sequence;误差为鞅差序列的半参数回归模型参数估计的收敛速度
3.Presents some results for weighted sums of multidimensionally indexed and stochastically dominated random variables using orthogonality ofmartingale difference sequence, which extend the related results of AndrèAdler and Andrew Rosalsky.利用鞅差序列的直交性质，推广了单指标随机拄制随机变量加权和的结果，给出了多指标随机控制随机变量加权和的极限定理。
英文短句/例句
1.Precise Asymptotic in the Law of the Iterated Logarithm of PA and Martingale Difference Sequences;PA与鞅差序列重对数律的精确渐近性
2.Some Laws of Large Numbers for Sequences of NA and B-valued Quasi-martingale Difference;NA和B值拟鞅差序列的几个大数定律
3.CONVERGENCE RATE OF THE ESTIMATE OF THE REGRESSION FUNCTION UNDER ERROR BEING MARTINGALE DIFFERENCE SEQUENCE;误差为鞅差序列的回归函数估计的收敛速度
4.The p-power mean density kernel estimators and rate of consistency for martingle difference sequence;鞅差序列密度估计的p阶相合性及其收敛速度
5.ASYMPTOTIC NORMALITY OF A CLASS OF ESTIMATORS IN PARTIAL LINEAR MODEL UNDER ERROR BEING MARTINGALE DIFFERENCE SEQUENCE;误差为鞅差序列的部分线性模型中估计的渐近正态性
6.Empirical likelihood inference for nonparametric function of partial linear models under martingale difference sequenece鞅差序列下部分线性模型中非参数分量的经验似然的置信区间
7.Precise Asymptotics in the Baum-Katz Law of Large Numbers for Linear Processes of Martingale Difference Sequences由鞅差序列生成的线性过程的Baum-Katz大数定律的精确渐近性
8.Stably Convergence in Distribution About Wavelet Estimation in Semiparametric Regression Model--The Martingale Difference Error Sequence Case半参数回归模型小波估计的稳定地依分布收敛性——误差为鞅差序列情形
9.In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference.本文研究了误差项是鞅差序列，且满足某种指数矩条件的非参数回归函数的估计。
10.By using the convergence theorem of martingale difference sequence, a class of strong limit theorem for the functional countable homgenous Markov chain is obtained.利用鞅差序列的收敛定理，给出了一类关于可列齐次马尔科夫链泛函的强极限定理。
11.Near Neighbour Estimate in Semiparametric Regression Model: The Martingale Difference Error Sequence Case半参数回归模型的近邻估计──鞅差误差序列情形
12.A proof of relationship of martingale-like sequences valued in finite dimensional Banach-space有限维Banach空间鞅型序列关系的一个证明方法
13.The Variance-Optimal Martingale Measure for Continuous Semimatingale on the Right Continuous Information Field右连续信息域下连续半鞅的方差最优鞅测度
14.Sharp Inequalities for the Integrable Difference and Integrable Conditional Difference of a Martingale;变差可积鞅及条件变差可积鞅的最优系数不等式
parison between Reforms of Shang Yang and Reforms of Wang An-shih;商鞅变法与王安石变法的比较与差异
16.Statistical Inference for Conditional Heteroscedastic Time Series Models;条件异方差时间序列模型的统计推断
17.An Analysis of the Diversity of Ancient mtDNA Sequences by RT-HPLC;基于RT-HPLC的古代mtDNA序列差异性分析
18.The Inverse Matrices of Arithmetical Hankel Matrices;等差序列构成的Hankel矩阵的逆矩阵
相关短句/例句
martingale difference sequences鞅差序列
1.This paper,uses the property of being uniformly integrable to truncate the random variable sequences,and under the condition of φ(x)x↑,φ(x)x2↓,obtain a weak law of large number ofmartingale difference sequences by the weak convergence theorem.通过使用一致收敛性对随机变量序列进行截尾,并借助随机变量序列的弱收敛定理,在φ(xx)↑,φ(x)x2↓的条件下给出了一个鞅差序列的弱大数定律。
2.We use least squares and least neighhor weight function to define the estimations and (t) for parametric β and nonparametric g(t) of semiparametric regression model, and obtain their r th mean consistency undermartingale difference sequences.利用偏残差法并综合最小二乘法,给出了半参数回归模型中参数β和非参数g(t)的^β、^g(t),在误差为鞅差序列时,得到了^β、^g(t)的r(r≥2)阶矩相合性。
3.Positively associated random variables (PA) and Martingale difference sequences arevery important cases in the dependent random variables.精确渐近性是随机变量加权级数性质的拓广研究，Gut等人在这个方向上做了很多贡献，本文在一定的条件下把Gut和Sp(?)taru的结果推广到PA与鞅差序列的情形。
3)martingale difference鞅差序列
1.In this paper we generalize Bernstein inequality of t he sequence of independent random variables to themartingale differences, then we give an application of this inequality.本文将独立随机变量序列的Bernstein型不等式推广到鞅差序列情形,给出该不等式的一个应用,并在一定条件下证明了非参数回归中函数估计的强相合性。
2.Firstly a limit theorem for the average of the function of arbitrary k variables of the nonhomogeneous Markov chains is established by the convergence theorem for themartingale difference sequence.首先应用鞅差序列收敛定理给出了关于非齐次马氏链的任意k元函数一类平均值的极限定理。
4)martingale differences鞅差序列
1.Laws of large numbers of weighted sumsof real-valuedmartingale differences;实值鞅差序列配重和的大数定律
2.The Euler’s law of large numbersfor a real valuedmartingale differences;实值鞅差序列的Euler大数定律
3.Where {Ψ(ε t)} aremartingale differences.设线性模型ｙｔ＝θ１ｘ１ｔ＋…＋θｐｘｐｔ＋εｔ，ｔ＝１，２，…，Ｎ，θＮ是θ＝（θ１，θ２，…，θｐ）Ｔ的Ｍ－估计，Ψ（εｔ），Ｆｔ｛｝是鞅差序列，Ｆｔ是σ－代数，且ＦｔＦｔ＋１，ｔ＝１，２，…。
5)submartingale difference random sequence下鞅差序列
1.The almost sure convergence properties of general Jamison weighted sums ofsubmartingale difference random sequencesis was discussed.通过讨论下鞅差序列的广义 Jamison型加权和的几乎处处收敛性 ,获得了比独立情形还强的 Jamison定理和 Marcinkiewicz强大数律 ,推广和改进了这两个定
6)weighted sums of martingale difference series鞅差序列加权和
延伸阅读
鞅鞅不乐1.因不满意而很不快乐。鞅，通"怏"。
