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International Conference on Quantitative Economics and Statistical Modeling

ICQESM

28th Aug – 29th Aug 2026 Miami, USA

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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Coupon Code

10% OFF on Registration.
Use Coupon Code → EARLY10
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Terms & Condition

Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 4 SDG 8 SDG 9 SDG 10
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.
SDG 8 SDG 9 SDG 17
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.
SDG 8 SDG 9 SDG 10
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.
SDG 9 SDG 11 SDG 17
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.
SDG 8 SDG 9 SDG 13
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.
SDG 4 SDG 16 SDG 17
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.
SDG 9 SDG 12 SDG 17
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.
SDG 8 SDG 9 SDG 10
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.
SDG 8 SDG 9 SDG 12
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.
SDG 8 SDG 9 SDG 10
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.
SDG 9 SDG 12 SDG 17
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.
SDG 9 SDG 12 SDG 17