1) Quisimartingale decomposition
拟鞅分解
2) martingale decomposition
鞅分解
1.
The martingale decomposition for set-valued pramart;
集值Pramart的鞅分解
2.
The main tool used here is the martingale decomposition which is firstly deduced by Lyons-Meyer-Zheng for symmetric Markov processes and then developed by Liming Wu for general stationary ergodic Markov processes.
利用Lyons Meyer Zheng对称马尔可夫过程的鞅分解,建立了泛函型中心极限定理。
3) quasi-martingale
拟鞅
1.
With quasi-martingale method,this paper solves an option pricing model in the fractional market,which makes original Black-Scholes equation as an special example.
本文从股价收益的时变性和波动的长记忆性两个方面考虑,建立了分数O-U过程;接着在分数风险中性测度下,利用分数情形下的Girsanov定理获得了分数O-U过程的唯一等价测度;进而采用拟鞅(quasi-martingale)定价方法,得到了分数市场环境中的期权定价模型,使得布朗运动和O-U过程驱动的期权定价模型均成为其特例;最后用算例,验证了长记忆参数H是期权定价中不可忽略的因素。
2.
In this paper, some inequalities are established between a p-quasi-martingale and its p-power function.
建立了B值p-拟鞅与其P方函数的包括凸Φ-不等式在内的若干不等式,反过来用这些不等式刻划了Banach空间的凸性和光滑性;并建立了B值拟鞅变换的凸Φ-不等式,得到了UMD空间的刻划,推广和深化了已知鞅的相应结论。
3.
Let 1quasi-martingale f=fnn≥0∈pHσαX, f can be decomposed into fn=sum form k∈Z to μkank(n≥0) and ‖f‖pHασ(X)+‖Rf‖α～inf(sum form k∈Z to μkα)1/α, where ak=(ank)n≥0(k∈Z) is a sequence of 1, α, ∞; p quasi-martingale atoms with supk∈Z‖ak*‖α<∞ and μkk∈Z∈lα are nonnegative numbers.
设1
4) Forward-backward martingale decomposition
向前向后鞅分解
1.
In this paper the forward-backward martingale decomposition is studied.
本文研究了马尔可夫H-值可加泛函的向前向后鞅分解。
2.
Using the forward-backward martingale decomposition,the cross-estimate of quasi-symmetric Markov processes is obtained,and the cross-estimate of Lyons-Zheng is extended from the symmetric case to the quasi-symmetric case.
利用向前向后鞅分解方法,获得了拟对称马尔可夫过程的穿越次数估计,将Lyons-Zheng的马尔可夫过程的穿越次数估计从对称情形推广到拟对称情形。
5) optional decomposition of supermartingale
上鞅的可选分解
6) Martingale solution
鞅解
补充资料：鞅鞅不乐
1.因不满意而很不快乐。鞅，通"怏"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条