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stochastic    
a. 随机的

随机的

stochastic
随机

stochastic
随机

stochastic
adj 1: being or having a random variable; "a stochastic
variable"; "stochastic processes"

Stochastic \Sto*chas"tic\ (st[-o]*k[a^]s"t[i^]k), a. [Gr.
stochastiko`s, from stocha`zesqai to aim, to guess, fr.
sto`chos mark or aim.]
1. Conjectural; able to conjecture. [Obs.] --Whitefoot.
[1913 Webster]

2. random; chance; involving probability; opposite of
{deterministic}.
[GG]

3. (Statistics) of or pertaining to a process in which a
series of calculations, selections, or observations are
made, each one being randomly determined as a sample from
a probability distribution.

Note: Where physical phenomena are modelled as a stochastic
process, each subsequent calculation of a series may
depend on the result of the previous calculation, as in
the modelling of the process of diffusion of molecules.
Many series may be calculated, and the results
averaged, to estimate the most likely result. See also
{Markov chain}.
[PJC] -- {sto*chas"tic*al*ly}, adv.
[PJC]

63 Moby Thesaurus words for "stochastic":
aimless, aleatoric, aleatory, amorphous, blobby, blurred, blurry,
broad, casual, causeless, chance, chancy, chaotic, confused,
designless, disordered, driftless, dysteleological, foggy, fuzzy,
general, haphazard, hazy, hit-or-miss, ill-defined, imprecise,
inaccurate, inchoate, incoherent, indecisive, indefinable,
indefinite, indeterminable, indeterminate, indiscriminate,
indistinct, inexact, inexplicable, lax, loose, mindless,
nonspecific, obscure, orderless, promiscuous, purposeless, random,
shadowed forth, shadowy, shapeless, stray, sweeping, unaccountable,
unclear, undefined, undestined, undetermined, undirected,
unmotivated, unplain, unspecified, vague, veiled


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  • 「Stochastic」与「Random」有何区别? - 知乎
    知乎,中文互联网高质量的问答社区和创作者聚集的原创内容平台,于 2011 年 1 月正式上线,以「让人们更好的分享知识、经验和见解,找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容,聚集了中文互联网科技、商业、影视
  • In laymans 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
  • Whats the difference between stochastic and random?
    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 theory for stationary stochastic processes", this did not go well with Soviet authorities The reason is that the notion of random process used by Khinchin contradicted dialectical materialism In diamat, all
  • 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,他们直接沿用了stochastic process的名称。 这个名字从此在英语世界扎根并成为主流。
  • 「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 probability that a bird will select a nesting location based on how far it is from the edge of the refuge or whether the location is shielded
  • 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: 9787111315445 4 《Basic Stochastic Processes》 作者: Zdzislaw Brzezniak 出版社: Springer ISBN: 9783540761754 注1:此书的英文
  • 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 就是学习率),也就是当前时刻的 m 与之前时刻的梯度都无关。
  • Books recommendations on stochastic analysis - Mathematics Stack Exchange
    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 good if you want to apply the theory to price derivatives Stochastic Differential Equations: An Introduction with Applications Bernt Oksanda
  • 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置,从而控制现在自己的奔跑方向和击球方法,这就是MPC。 当然,网球运动有随机性,比如对手可能会打战术
  • 知乎 - 有问题,就会有答案
    知乎 - 有问题,就会有答案





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