Invitation to Submit
제출 안내
The International Conference on Time Series Analysis and Probabilistic Forecasting , 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 Time Series Analysis and Probabilistic Forecasting , 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 Modeling Techniques
Probabilistic Forecasting Methods
Statistical Analysis Of Time Series
Seasonal Decomposition In Forecasting
Machine Learning For Time Series
Bayesian Approaches To Forecasting
Temporal Data Mining Techniques
Longitudinal Data Analysis Methods
Autoregressive Integrated Moving Average
Forecasting With Neural Networks
Causal Inference In Time Series
Real-time Forecasting Applications
Time Series Anomaly Detection
Multivariate Time Series Analysis
Time Series In Economics
Dynamic Systems And Forecasting
Forecasting In Climate Science
Time Series And Big Data
Statistical Software For Time Series
Emerging Trends 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.