An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track focuses on recent developments in mathematical theories and methodologies. Contributions that explore innovative approaches and applications in various fields of mathematics are encouraged.
This session aims to discuss the integration of statistical computing techniques in data analysis. Papers that highlight novel algorithms and software tools for statistical modeling are welcome.
This track covers the principles and applications of descriptive and inferential statistics. Submissions that illustrate the use of these techniques in real-world scenarios are particularly encouraged.
This session emphasizes the role of computational methods in statistical analysis. Researchers are invited to present their findings on computational techniques that enhance statistical inference.
This track explores the foundational aspects of probability theory and its applications across various disciplines. Papers that connect theoretical insights with practical implementations are sought.
This session focuses on statistical estimation techniques and the role of pivotal quantities in inference. Contributions that provide new perspectives on these topics are highly encouraged.
This track examines methodologies for error analysis and the construction of confidence intervals. Submissions that propose new approaches or improvements in these areas are welcome.
This session delves into the theory and application of hypothesis testing, including null and alternative hypotheses. Papers that present innovative testing methods or case studies are encouraged.
This track highlights the intersection of linear algebra and statistics, focusing on applications in data analysis and modeling. Contributions that demonstrate the utility of linear algebraic methods in statistical contexts are invited.
This session addresses the application of mathematical methods in various scientific fields. Researchers are encouraged to share their experiences and findings that illustrate the impact of mathematics on scientific inquiry.
This track explores the synergy between computational science and statistical innovations. Papers that discuss cutting-edge computational techniques and their statistical implications are welcome.