Abstract Proceedings of ICIRESM – 2019
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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
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025