Registration summary
ConferenceICBSDA
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.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICBSDA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Bayesian Inference +
This track focuses on the latest developments in Bayesian inference techniques and their applications in various fields. Researchers are encouraged to present novel methodologies and case studies that highlight the efficacy of Bayesian approaches in statistical analysis.
02 Predictive Modeling and Machine Learning +
This session will explore the integration of predictive modeling techniques with machine learning algorithms. Participants will discuss innovative applications and the theoretical underpinnings that enhance predictive accuracy in complex datasets.
03 Simulation Techniques in Statistics +
This track emphasizes the role of simulation methods, including Monte Carlo techniques, in statistical analysis and decision-making. Contributions should address both theoretical advancements and practical applications of simulation in various domains.
04 Hierarchical Models in Data Science +
Hierarchical models provide a framework for analyzing data with multiple levels of variability. This session invites discussions on the implementation and benefits of hierarchical modeling in contemporary data science applications.
05 Risk Analysis and Decision Making +
This track will delve into quantitative methods for risk analysis and their implications for decision-making processes. Presentations should highlight innovative approaches to assessing and managing risk in uncertain environments.
06 Optimization Techniques in Bayesian Statistics +
Optimization plays a crucial role in Bayesian statistics, particularly in model fitting and parameter estimation. This session will cover recent advancements in optimization algorithms and their applications in Bayesian frameworks.
07 Markov Chains and Their Applications +
Markov chains are fundamental tools in statistical modeling and inference. This track will focus on new methodologies and applications of Markov chains in various fields, including finance, biology, and social sciences.
08 Statistical Inference in High Dimensions +
As data dimensionality increases, traditional statistical inference methods face challenges. This session will explore cutting-edge techniques for statistical inference in high-dimensional spaces, emphasizing both theoretical and practical perspectives.
09 Artificial Intelligence in Statistical Analysis +
The intersection of artificial intelligence and statistical analysis is a rapidly evolving area of research. This track invites contributions that demonstrate how AI techniques can enhance statistical methodologies and decision-making processes.
10 Applied Statistics in Real-World Scenarios +
This session will showcase applied statistical research that addresses real-world problems across various industries. Participants are encouraged to present case studies that illustrate the impact of statistical methods in practice.
11 Forecasting Techniques and Applications +
Forecasting is a critical aspect of decision analysis, particularly in uncertain environments. This track will focus on innovative forecasting methods and their applications in business, economics, and environmental studies.
