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  1. 「Stochastic」与「Random」有何区别? - 知乎

    With stochastic process, the likelihood or probability of any particular outcome can be specified and not all outcomes are equally likely of occurring. For example, an ornithologist may assign a greater …

  2. In layman's terms: What is a stochastic process?

    A stochastic process is a colection of random variables defined on the same probability space. Please explain further what parts of this definition are escaping you.

  3. random process和stochastic process的区别是什么? - 知乎

    然而,就在Khinchin给出随机过程的定义之后不久,在他的苏联同事们改回random process之前,两名美国概率学家,Doob和Feller,把Khinchin的工作翻译成了英语。 出于对原作者的尊重,他们直接沿用 …

  4. What's the difference between stochastic and random?

    Feb 28, 2012 · What's the difference between stochastic and random? There is an anecdote about the notion of stochastic processes. They say that when Khinchin wrote his seminal paper "Correlation …

  5. 有哪些值得推荐的《随机过程》教材或者参考书?

    3.《Introduction to Stochastic Processes》 作者: Gregory F. Lawler 出版社: Chapman and Hall/CRC ISBN: 9781584886518 注1:此书的中译版 译者: 张景肖 出版社: 机械工业出版社 ISBN: …

  6. Books recommendations on stochastic analysis - Mathematics Stack …

    Feb 21, 2023 · Stochastic Calculus for Finance I: Binomial asset pricing model and Stochastic Calculus for Finance II: tochastic Calculus for Finance II: Continuous-Time Models. These two books are very …

  7. 随机模型预测控制到底是什么? - 知乎

    SMPC,stochastic model predictive control。 先搞清楚MPC是啥?就是用模型预测系统以后的表现加以改变现在的控制。比如打网球,人能在对手击球时,通过脑内的打网球模型就判断球的路径和回击位 …

  8. 如何理解随机梯度下降(stochastic gradient descent,SGD)?

    随机梯度下降 Stochastic Gradient Descent SGD (Vinilla基础法/Momentum动量法) 一开始SGD没有动量,叫做Vanilla SGD,也就是没有之前时刻的梯度信息。 所以 m_t=\eta G_t ( \eta 就是学习 …

  9. Fubini's theorem in Stochastic Integral - Mathematics Stack Exchange

    Nov 29, 2024 · The Stochastic Fubini Theorem allows to exchange $dw_u$ and $dt\,.$ The integral bounds after change follow (as I said from) the region of integration $s<u<t<T$ just like in ordinary …

  10. 知乎 - 有问题,就会有答案

    知乎 - 有问题,就会有答案