1) 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。
2) Quisimartingale decomposition
拟鞅分解
3) 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。
4) optional decomposition of supermartingale
上鞅的可选分解
5) Martingale solution
鞅解
6) canonical decomposition of special semimartingale
特殊半鞅的典则分解
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。
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