International Conference on Probability Theory and Stochastic Processes (ICPTSP - 27)

This track focuses on the fundamental principles of probability theory, including axioms, probability spaces, and key theorems. Contributions exploring the implications of these foundations in various mathematical contexts are encouraged.

This session will delve into various types of stochastic processes, including discrete and continuous-time models. Papers discussing their applications in real-world scenarios and theoretical advancements are welcome.

This track emphasizes the study of random variables, their distributions, and transformations. Submissions that highlight innovative applications in statistics and engineering are particularly encouraged.

This session will explore the theory and applications of Markov processes, including Markov chains and hidden Markov models. Research that bridges theoretical developments with practical applications in diverse fields is sought.

This track is dedicated to the study of martingales and their applications in stochastic analysis. Contributions that investigate new results or methodologies in this area are highly encouraged.

This session focuses on limit theorems, including the Central Limit Theorem and Law of Large Numbers. Papers that provide new insights or applications of these theorems in various disciplines are welcome.