AFTER

Call For Papers

The ICPTSP emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Probability Theory And Stochastic Processes are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Recent developments in probability theory
Stochastic processes in finance
Applications of Markov processes
Random walks and their applications
Probability theory in statistical mechanics
Stochastic modeling in biology
Applications of Bayesian statistics
Limit theorems in probability theory
Martingales and their applications
Stochastic calculus techniques
Applications of probability in machine learning
Probabilistic graphical models insights
Statistical inference in stochastic processes
Applications of probability in engineering
Random fields and their applications
Extreme value theory developments
Applications of probability in telecommunications
Monte Carlo methods in probability
Future directions in probability research
Interdisciplinary applications of probability theory

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.