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A general approach to sample path generation of infinitely divisible processes via shot noise representation

机译：通过射击噪声表示对无限可分隔过程的路径生成的一般方法

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Reiichiro Kawai;
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1. Symmetric infinitely divisible processes with sample paths in Orlicz spaces and absolute continuity of infinitely divisible processes [J] . Braverman M., Samorodnitsky G. Stochastic Processes and Their Applications: An Official Journal of the Bernoulli Society for Mathematical Statistics and Probability . 1998,第1期

机译：具有Orlicz空间中样本路径的对称无限可整过程以及无限可整过程的绝对连续性
2. Sample Path Large Deviations Principles for Poisson Shot Noise Processes and Applications [J] . Ganesh Ayalvadi, Macci Claudio, Torrisi Giovanni Luca Electronic Journal of Probability . 2005,第2期

机译：泊松散粒噪声过程和应用的样本路径大偏差原理
3. STOCHASTIC REPRESENTATION OF A FRACTIONAL SUBDIFFUSION EQUATION. THE CASE OF INFINITELY DIVISIBLE WAITING TIMES, LEVY NOISE AND SPACE-TIME-DEPENDENT COEFFICIENTS [J] . Magdziarz Marcin, Zorawik Tomasz Proceedings of the American Mathematical Society . 2016,第4期

机译：分数次扩散方程的随机表示。无限可能的等待时间，噪音水平和时空依赖系数
4. Infinitely divisible shot-noise: Modeling fluctuations in networking and turbulence [C] . Rudolf H. Riedi, Darrin Gershman International Conference on Noise and Fluctuations . 2007

机译：无限可分地射击噪声：网络和湍流中的模拟波动
5. Study of Gaussian processes, Lévy processes and infinitely divisible distributions [D] . Veillette, Mark S. 2011

机译：研究高斯过程，Lévy过程和无限可整分布
6. Photoreceptor sensitivity and the shot noise of chemical processes. [O] . D Petracchi, G Cercignani, S Lucia 1996

机译：感光感光度和化学过程的散粒噪声。
7. Symmetric infinitely divisible processes with sample paths in Orlicz spaces and absolute continuity of infinitely divisible processes [O] . Braverman Michael, Samorodnitsky Gennady 1998

机译：具有Orlicz空间中样本路径的对称无限可分过程和无限可分过程的绝对连续性
8. Integral and Series Representation of Infinitely Divisible Processes with Applications to Their Prediction and to Their Sample Path, Statistical and Structural Properties. [R] . Rajput, B. S., Rosinski, J. 1989

机译：无限可分过程的积分和级数表示及其应用预测及其样本路径，统计和结构性质。

A general approach to sample path generation of infinitely divisible processes via shot noise representation

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