Registration summary
ConferenceICQESM
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
ICQESM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advanced Econometric Techniques +
This track explores innovative econometric methodologies that enhance the analysis of economic data. Topics include model selection, estimation techniques, and robustness in econometric modeling.
02 Statistical Modeling in Finance +
This session focuses on the application of statistical models in financial contexts, including risk assessment and asset pricing. Participants will discuss contemporary challenges and solutions in financial modeling.
03 Machine Learning Applications in Data Science +
This track examines the integration of machine learning techniques within data science frameworks. Emphasis will be placed on practical applications and case studies across various industries.
04 Time Series Analysis and Forecasting +
This session delves into methodologies for analyzing time-dependent data and generating forecasts. Participants will explore both traditional and modern approaches to time series modeling.
05 Causal Inference and Experimental Design +
This track addresses the principles and techniques of causal inference in statistical research. Discussions will include experimental design, observational studies, and the challenges of establishing causality.
06 Big Data Analytics and Computational Methods +
This session focuses on the challenges and techniques associated with analyzing large datasets. Topics include computational algorithms, data processing, and the implications of big data in statistical analysis.
07 Regression Analysis: Theory and Applications +
This track covers both the theoretical foundations and practical applications of regression analysis. Participants will engage in discussions on model diagnostics, variable selection, and interpretation of results.
08 Predictive Analytics in Business and Economics +
This session highlights the role of predictive analytics in decision-making processes within business and economic contexts. Case studies will illustrate the impact of predictive models on strategic planning.
09 Panel Data Econometrics +
This track focuses on the analysis of panel data, emphasizing techniques that account for both cross-sectional and time-series variations. Discussions will include fixed effects, random effects, and dynamic panel models.
10 Optimization Techniques in Statistical Modeling +
This session explores optimization methods used in statistical modeling to improve model performance. Topics will include parameter estimation, model fitting, and the role of optimization in statistical inference.
11 Simulation Methods in Statistics +
This track examines the use of simulation techniques in statistical analysis and model validation. Participants will discuss Monte Carlo methods, bootstrapping, and their applications in various fields.
