Abstract Proceedings of ICIRESM – 2019
Full conference PDF is available to the subscribed user. Use your subscription login to access,
STOCHASTIC PROCESS IN PROBABILITY THERORY
In probability theory and related fields, a stochastic or random process is a mathematical object usually defined as a family of random variables Historically, the random variables were associated with or indexed by a set of numbers, usually viewed as points in time, giving the interpretation of a stochastic process representing numerical values of system randomly changing over time, such as the some growth of a bacterial population, an electrical current fluctuating due to thermal noise, or the movement of a gas molecule. Stochastic processes are widely used as mathematical models of systems and phenomena that appear to vary in a random manner.
Stochastic Process, Probability Theory
30/08/2019
154
19152
IMPORTANT DAYS
Paper Submission Last Date
February 27th, 2026
Notification of Acceptance
March 25th, 2026
Camera Ready Paper Submission & Author's Registration
April 20th, 2026
Date of Conference
May 29th, 2026