Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
This track focuses on the latest developments in the theory and applications of random variables. Researchers are invited to present their findings on novel distributions and their properties.
This session explores various limit theorems, including the Central Limit Theorem and its extensions. Contributions that demonstrate practical applications in real-world scenarios are particularly encouraged.
This track highlights emerging probability distributions and their relevance in contemporary research. Participants are invited to discuss innovative methodologies for analyzing these distributions.
This session delves into the theory of large deviations and its significance in probability theory. Papers that address both theoretical aspects and practical implications are welcome.
This track emphasizes the development and application of stochastic models across various fields. Submissions that showcase novel modeling techniques and their effectiveness are encouraged.
This session is dedicated to advancements in statistical inference, focusing on both classical and modern approaches. Researchers are invited to present innovative techniques and their applications in data analysis.
This track investigates convergence concepts in probability theory, including almost sure and convergence in distribution. Contributions that provide new insights or methodologies are particularly welcome.
This session covers the theoretical foundations and practical applications of mathematical statistics. Papers that bridge the gap between theory and real-world application are encouraged.
This track focuses on the study of random processes and their applications in various domains. Participants are invited to share their research on both theoretical and applied aspects of random processes.
This session highlights the development of algorithms for solving problems in probability and statistics. Contributions that demonstrate the effectiveness of these algorithms in practical scenarios are welcome.
This track explores simulation methods used in applied probability to model complex systems. Researchers are invited to present innovative simulation techniques and their applications.