stochastic process Antonyms

No Synonyms and anytonyms found

Meaning of stochastic process

Wordnet

stochastic process (n)

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

stochastic process Sentence Examples

  1. The evolution of the stock market is often modeled as a stochastic process, where future prices are uncertain and influenced by random events.
  2. Climate change scientists use stochastic processes to predict future weather patterns and assess the likelihood of extreme events.
  3. In epidemiology, stochastic processes are employed to simulate the spread of infectious diseases and evaluate the effectiveness of control measures.
  4. Financial analysts rely on stochastic processes to quantify the risk associated with investments and develop hedging strategies.
  5. Engineers use stochastic processes to analyze the reliability of complex systems and predict their failure rates.
  6. Biologists employ stochastic processes to study the dynamics of populations, including birth, death, and migration patterns.
  7. In computer science, stochastic processes are used to model the behavior of distributed systems and analyze the performance of algorithms.
  8. Physicists use stochastic processes to describe phenomena involving randomness, such as Brownian motion and quantum fluctuations.
  9. Hydrologists use stochastic processes to simulate river flows and predict the occurrence of floods and droughts.
  10. Researchers in artificial intelligence utilize stochastic processes to develop probabilistic models for decision-making and problem-solving.

FAQs About the word stochastic process

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

No synonyms found.

No antonyms found.

The evolution of the stock market is often modeled as a stochastic process, where future prices are uncertain and influenced by random events.

Climate change scientists use stochastic processes to predict future weather patterns and assess the likelihood of extreme events.

In epidemiology, stochastic processes are employed to simulate the spread of infectious diseases and evaluate the effectiveness of control measures.

Financial analysts rely on stochastic processes to quantify the risk associated with investments and develop hedging strategies.