stochastic process
- noun
- /stəˈkæs.tɪk ˈprəʊ.sɛs/
- Specialized
:
proceso estocástico
- In machine learning, a stochastic process can help predict outcomes based on random variables changing continually.
Examples
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This method utilizes a stochastic process for modeling grain nucleation and a deterministic process to model grain growth.
Academic text (2018) -
So Markov chain is an example of a stochastic process, which basically just means random variables evolving over time.
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And so this is now a stochastic process, this thing.
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OK, we have a stochastic process which now is multivariate.
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So you have this stochastic process and at time T you are at XT.
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Markov chains are stochastic processes transitioning in discrete time steps through a finite set of states.
Academic text (2018) -
Assuming that connection formation is a stochastic process, which implies that connection probability declines with spatial distance, this process leads to a higher connection probability between areas that are generated during nearby time windows.
Academic text (2018) -
Sugihara and May (1990), for example, noted that a tailored stochastic process can mimic the patterns found in a given complex deterministic process.
Academic text (2012) -
Signals generated by purely stochastic processes can appear identical to those generated by a complex nonlinear system when viewed through the lens of certain data-analysis tools.
Academic text (2012) -
A stochastic process is often used to model stock prices that fluctuate randomly over time.
How Random
Surface Forms
Morphology
The meaning 'a process involving randomness' is directly and compositionally derived from 'stochastic' (involving random variables/probability) modifying 'process' (a sequence of changes over time). This follows a standard adjective+noun pattern common across languages and would be understandable to a B1 learner who already knows the constituent words, despite the term's technical register.
Etymology
Stochastic process comes from a simple image: process is a series of steps and stochastic means 'by chance', like a walker who flips a coin at each step to decide where to go. So, a stochastic process means 'something that changes over time in a way you cannot predict'.