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arXiv 1406.2193math.PR
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加性噪声驱动的奇异方程及其应用

Singular Equations Driven by an Additive Noise and Applications

Nicolas Marie

摘要:

在路径随机分析的框架下,本文研究了加性高斯噪声驱动的方程,漂移函数在零点处具有无穷大的极限。证明了一个遍历定理和隐式Euler格式的收敛性。Malliavin演算用于研究解的分布的绝对连续性。给出了模型随机分量参数的估计方法。在一类乘性噪声驱动的奇异随机微分方程上,得到了这些性质的转移。介绍了一种分数阶Heston模型。

英文摘要:

In the pathwise stochastic calculus framework, the paper deals with the general study of equations driven by an additive Gaussian noise, with a drift function having an infinite limit at point zero. An ergodic theorem and the convergence of the implicit Euler scheme are proved. The Malliavin calculus is used to study the absolute continuity of the distribution of the solution. An estimation procedure of the parameters of the random component of the model is provided. The properties are transferred on a class of singular stochastic differential equations driven by a multiplicative noise. A fractional Heston model is introduced.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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