Random

Random process in probability

Random process in probability

A random process is a collection of random variables usually indexed by time. The process S(t) mentioned here is an example of a continuous-time random process. In general, when we have a random process X(t) where t can take real values in an interval on the real line, then X(t) is a continuous-time random process.

  1. What is random process with example?
  2. What is the use of random process?
  3. What is a random variable and random process?

What is random process with example?

Tossing the die is an example of a random process; • The number on top is the value of the random variable. 2. Toss two dice and take the sum of the numbers that land up. Tossing the dice is the random process; • The sum is the value of the random variable.

What is the use of random process?

Random variables and random processes play important roles in the real-world. They are used extensively in various fields such as machine learning, signal processing, digital communication, statistics, etc.

What is a random variable and random process?

A random variable is a function X(e) that maps the set of ex- periment outcomes to the set of numbers. • A random process is a rule that maps every outcome e of an experiment to a function X(t, e).

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