stationary stochastic process Sentence Examples
- A stationary stochastic process exhibits constant statistical properties over time.
- In a stationary stochastic process, the mean, variance, and covariance remain invariant over time.
- Stationary stochastic processes are useful for modeling real-world phenomena that fluctuate around a constant mean.
- The autocorrelation function of a stationary stochastic process is independent of the time origin.
- Gaussian stationary stochastic processes are characterized by a normal distribution of values.
- Ergodic stationary stochastic processes are often assumed to facilitate statistical inference.
- Stationary stochastic processes can be used to model time series data, financial markets, and other dynamic systems.
- Non-stationary stochastic processes exhibit time-varying statistical properties.
- The transition from a non-stationary to a stationary stochastic process is known as trend removal.
- Stationary stochastic processes are often used in econometrics, signal processing, and control theory.
stationary stochastic process Meaning
Wordnet
stationary stochastic process (n)
a stochastic process in which the distribution of the random variables is the same for any value of the variable parameter
Synonyms & Antonyms of stationary stochastic process
No Synonyms and anytonyms found
FAQs About the word stationary stochastic process
a stochastic process in which the distribution of the random variables is the same for any value of the variable parameter
No synonyms found.
No antonyms found.
A stationary stochastic process exhibits constant statistical properties over time.
In a stationary stochastic process, the mean, variance, and covariance remain invariant over time.
Stationary stochastic processes are useful for modeling real-world phenomena that fluctuate around a constant mean.
The autocorrelation function of a stationary stochastic process is independent of the time origin.
