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ICSSCP · Registering as Listener

International Conference on Stochastic Simulation and Computational Probability

1 - 2 Dec 2026 Montreal, Canada Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICSSCP
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICSSCP conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities
01 Advancements in Stochastic Simulation Techniques +
This track focuses on the latest developments in stochastic simulation methodologies. Researchers are invited to present innovative approaches that enhance the efficiency and accuracy of simulation processes.
02 Monte Carlo Methods: Theory and Applications +
This session will explore both the theoretical underpinnings and practical applications of Monte Carlo methods in various fields. Contributions that demonstrate novel applications or improvements in Monte Carlo techniques are particularly welcome.
03 Statistical Modeling in Complex Systems +
This track emphasizes the role of statistical modeling in understanding and analyzing complex systems. Papers that showcase the integration of statistical models with real-world data are encouraged.
04 Random Sampling Techniques in Data Science +
This session will delve into the methodologies and challenges associated with random sampling in data science. Participants are invited to share insights on improving sampling techniques for better data representation.
05 Simulation Algorithms for Risk Analysis +
This track addresses the development and application of simulation algorithms specifically for risk analysis. Contributions that highlight the intersection of simulation and risk management are highly sought after.
06 Applied Statistics in Industry and Research +
This session focuses on the application of statistical methods in various industrial and research contexts. Papers that demonstrate the impact of applied statistics on decision-making processes are encouraged.
07 Probability Theory: Foundations and New Directions +
This track aims to explore foundational aspects of probability theory alongside emerging trends and new directions in the field. Contributions that bridge theoretical insights with practical implications are particularly welcome.
08 Machine Learning and Stochastic Processes +
This session investigates the synergy between machine learning techniques and stochastic processes. Researchers are invited to present work that integrates these domains to solve complex problems.
09 Optimization Techniques in Computational Statistics +
This track focuses on optimization methods that enhance computational statistics. Papers that propose new optimization strategies or apply existing methods to statistical problems are encouraged.
10 Predictive Analytics: Methods and Applications +
This session will cover various predictive analytics methodologies and their applications across different sectors. Contributions that showcase successful case studies or novel predictive models are welcome.
11 Quantitative Methods in Decision Support Systems +
This track emphasizes the role of quantitative methods in developing effective decision support systems. Researchers are invited to share their findings on how quantitative analysis can enhance decision-making processes.