Invitation to Submit
제출 안내
The International Conference on Applied Time Series and Forecasting Methods , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Applied Time Series and Forecasting Methods , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Time Series Forecasting Methods And Applications
Statistical Modeling Of Temporal Data
Seasonal Decomposition In Time Series Analysis
Arima Models For Time Series Forecasting
Statistical Methods For Financial Time Series
Time Series Analysis In Environmental Studies
Machine Learning Techniques For Time Series
Statistical Methods For Anomaly Detection In Time Series
Longitudinal Data Analysis Techniques
Statistical Software For Time Series Analysis
Causal Inference In Time Series Data
Applications Of Time Series In Public Health
Statistical Challenges In High-frequency Data
Time Series Regression Modeling Approaches
Forecasting With Multivariate Time Series
Statistical Methods For Economic Time Series
Time Series Analysis In Social Sciences
Bayesian Approaches To Time Series Forecasting
Statistical Techniques For Real-time Forecasting
Future Directions In Time Series Analysis
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.