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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?

    2015年10月8日 · 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. What's the difference between stochastic and random?

    2012年2月28日 · 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 …

  4. 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 …

  5. Difference between time series and stochastic process?

    2011年1月30日 · Stochastic processes are often used in modeling time series data- we assume that the time series we have was produced by a stochastic process, find the parameters of a stochastic …

  6. 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 …

  7. Books recommendations on stochastic analysis - Mathematics Stack …

    2023年2月21日 · 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 …

  8. Stochastic Calculus 在现实的 Quant 世界中到底可以干什么?

    Stochastic Calculus(以后简称SC)最早是本科看郎咸平的一本书的序言看到的,他说他自己原来在台湾是个学渣,到了Wharton,听说SC考得好说明这人不笨,于是狂学狂学,最后考了一个A+。

  9. 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 …

  10. Newest 'stochastic-processes' Questions - Mathematics Stack Exchange

    2026年1月12日 · For questions about stochastic processes, for example random walks and Brownian motion.