stochastic process

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stochastic process

A scientist plots a stochastic process on a whiteboard.

Definition
  1. Noun:
    • A mathematical model for a system that evolves over time in a way that involves randomness or probability: A "stochastic process" is a collection of random variables, typically indexed by time, that describes the potential states of a system and the probabilities of transitioning between these states. It is used to model systems where outcomes are uncertain.
Examples of Usage
  • Noun:
    • The movement of a stock price is often modeled as a stochastic process.
    • Scientists use a stochastic process to simulate the spread of a disease through a population.
    • Analyzing the stochastic process of customer arrivals helps optimize queue management.
Advanced Usage
  • "Markov process": A specific type of stochastic process where the future state depends only on the present state, not on the sequence of events that preceded it.

    • The model assumes the system's behavior follows a Markov process.
  • "Stationary stochastic process": A process whose statistical properties (like mean and variance) do not change over time.

    • For the analysis to be valid, we must assume the data represents a stationary stochastic process.
Variants and Related Words
  • Stochastic (adj): Having a random probability distribution or pattern that may be analyzed statistically but not predicted precisely.

    • The model accounts for stochastic fluctuations in demand.
  • Random process (n): A common synonym for "stochastic process."

Synonyms
  • Random process: A process involving random variables.
  • Probabilistic process: A process governed by probability laws.
Related Phrases
  • Sample path or realization: A single observed outcome or trajectory of a stochastic process.

    • Each simulation run produces a different sample path of the stochastic process.
  • State space: The set of all possible values (states) that the random variables in the process can take.

    • Defining the state space is the first step in modeling the stochastic process.
stochastic process

A scientist plots a stochastic process on a whiteboard.

Noun
  1. a statistical process involving a number of random variables depending on a variable parameter (which is usually time)

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