B值渐近鞅的局部收敛性

Ｂ值渐近鞅是Ｂ值鞅的重要推广,它保持了鞅的一些是一性质,然后对Ｂ值渐近鞅的局部收敛性很少有文献论及。本文利用Ｂ值渐近鞅的Ｄｏｏｂ分解,对Ｂ值渐近鞅的局部收敛性作些探讨,得到了Ｂ值渐近鞅局部收敛性的几个结果,它们是鞅的有关结论的推广与改进。     

集值拟鞅和集值一致渐近鞅

本文讨论了集值拟鞅和集值一致渐近鞅,证明了集值拟鞅与集值一致渐近鞅的选样定理,对于集值一致渐近鞅得到了一些收敛性结果,并由此刻化了空间的 Radon-Nikodym性质.     

渐近鞅差序列的大数定律

研究渐近鞅的收敛性及渐近鞅的Doob分解，证明了渐近鞅差序列服从大数定律。     

B值一致渐近鞅强大数定律的一点注记

本利用了Ｂ值一致渐近鞅的Ｄｏｏｂ分解,对Ｂ值一致渐近鞅的收敛性作进一步的探讨,得到了Ｂ值一致渐近鞅的强大数定律的几个重要结果,从而将实值一致渐近鞅的强大数定律的一些结果推广到了Ｂ值一致渐近鞅的情形。     

定向集上的B值一致渐近鞅

本文将文献[1]、[2]关于序列情形下的B值一致渐近的概念拓广到定向集的情形,给出了定向集上B值鞅的一个可选采样定理,证明了定向集上B值一致渐近鞅的Riesz分解定理。同时,用B值一致渐近鞅的收敛性及其诱导测度刻划了B空间的R-N性质,最后还给出了一个B值一致渐近鞅本性收敛的充分条件。     

B值渐近鞅的估值性质

本文用 B值渐近鞅的 Doob分解,研究了取值于具有 RNP且对偶可分的 Banach空间B值渐近鞅的估值性质,给出了一系列结果及其证明.     

B值L^p极限鞅的若干性质

本文在1≤p<∞的情形下讨论了取值于 Banach 空间的 L~p 极限鞅的收敛性质,给出了 L~p 极限鞅的 Riesz 分解,并用 L~p 极限鞅的收敛性刻划了空间的 Radon-Nikodym 性质,从而把在 p=1情形下的一些结果推广到了1≤p<∞的情形。此外,还指出了 B 值 p 拟鞅,B 值 p 一致渐近鞅与本文中的 B 值 L~p 极限鞅之间的包含关系。     

B值渐近鞅的强弱大数定律

本文用Ｂ值渐近鞅的Ｄｏｏｂ分解，研究了取值于具有ＲＮＰ且对偶可分的Ｂａｎａｃｈ空间Ｂ值渐近鞅的强弱大数定律．给出了一系列结果及其证明     

闭区间值鞅及模糊数值鞅

集值上鞅、下鞅和鞅的收敛定理已有不少文章进行了研究[1]、[2][3]。但在这些文章中,集值上(下)鞅并不以经典的上(下)鞅为其特款。在本文中,我们定义了以经典上(下)鞅为其特款的闭区间值上(下)鞅,并讨论了它们的性质及其收敛定理。本文还在此基础上讨论了模糊数值鞅。     

右连续上鞅的提升及其应用

本文首先给出了一个右连续上鞅的ＳＤ提升，在引进Ｓ－上鞅和强Ｓ－上鞅概念之后，研究了一一致可积上鞅与Ｓ－上鞅，类上鞅与强Ｓ－上鞅之间的关系，并得到了Ｓ－上鞅与强Ｓ－上鞅的许多性质，作为其直接结果，给出了类上鞅的Ｄｏｏｂ－ＭＮｅｙｅｒ分解。     

Exponential martingale for compound Poisson process with latent variable and its applications

In this article, we construct an exponential martingale for the compound Poisson process with latent variableWith the help of this exponential martingale, we provide an asymptotic behavior of the coherent entropic risk measure for the compound Poisson process and a deviation inequality for the ruin probability of the partly shifted risk process.     

Amarts on Riesz Spaces

The concepts of conditional expectations, martingales and stopping times were extended to the Riesz space context by Kuo, Labuschagne and Watson （Discrete time stochastic processes on Riesz spaces, Indag. Math.,15（2004）, 435-451）. Here we extend the definition of an asymptotic martingale （amart） to the Riesz spaces context, and prove that Riesz space amarts can be decomposed into the sum of a martingale and an adapted sequence convergent to zero. Consequently an amart convergence theorem is deduced.     

A note on applications of the martingale central limit theorem to random permutations

A unified martingale approach is presented for establishing the asymptotic normality of some sequences of random variables. It is applied to the numbers of inversions, rises, and peaks, respectively, as well as the oscillation and the sum of consecutive pair products of a random permutation. © 1997 John Wiley & Sons, Inc. Random Struct. Alg., 10, 323–332 (1997)     

Banach值鞅变换算子的有界性

本文运用Banach值鞅不等式和鞅空间的相互嵌入关系．讨论了Banach空间值鞅空间上鞅变换算子L的有界性．并给出了鞅变换算子的有界性与Banach空间几何性质的关系．     

集值Pramart的一类鞅逼近

在X^＊可分的条件下,首先讨论了集值Pramart有关支撑函数和距离函数的性质,利用支撑函数和距离函数研究了集值Pramart鞅逼近,在此基础上,给出了集值Pramart的一类鞅分解.     

三叉树模型下的等价鞅测度

本文研究了三叉树模型下的等价鞅测度刻划问题，得到了三叉树模型的最小熵鞅测度，逆相对熵鞅测度，方差最优鞅测度和极小鞅测度的精确表达式。     

Statistical causality,martingale problems and local uniqueness

The paper considers a statistical concept of causality in continuous time in the filtered probability spaces which is based on the Granger’s definition of causality. The given causality concept is then applied to the solution of the martingale problem (associated with the stochastic differential equation driven with semimartingales). More precisely, we show that the given causality concept is closely connected to the concept of extremality of measures for the solutions of the martingale problem, for the stopped martingale problem and for the local martingale problem. We also show the equivalence between some models of causality and local uniqueness (for the solutions of the martingale problem).     

Asymptotic normality of wavelet estimator in heteroscedastic regression model

The following heteroscedastic regression model Y_i=g(x_i) σ_ie_i(1≤i≤n)is considered,where it is assumed thatσ_i~2=f(u_i),the design points(x_i,u_i)are known and nonrandom,g and f are unknown functions.Under the unobservable disturbance e_i form martingale differences,the asymptotic normality of wavelet estimators of g with f being known or unknown function is studied.     

任意随机变量序列的一个强极限定理

研究任意随机变量序列的强收敛性.利用鞅差序列级数收敛定理,证明了任意随机序列的一个强极限定理,作为推论,得到了马氏过程、鞅差序列及独立随机变量序列的强大数定律.     

The Spearman footrule and a Markov chain property

An equivalent representation of the Spearman footrule is considered and a characterization in terms of a Markov chain is established. A martingale approach is thereby incorporated in the study of the asymptotic normality of the statistics.