stochastic process
Học thuậtThân thiện
Definition
- 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.
Noun
- a statistical process involving a number of random variables depending on a variable parameter (which is usually time)