Call for Papers

International Conference on Applied Time Series and Forecasting Methods(ICATSFM-27) invites researchers, academicians, and professionals to submit original research, case studies, and review papers. Submissions may address a wide range of topics relevant to the conference themes, including but not limited to the following areas:

International Conference on Applied Time Series and Forecasting Methods(ICATSFM-27) 诚邀研究人员、学者及专业人士提交原创论文、案例研究及综述文章。投稿内容涵盖多个研究领域，包括但不限于以下方向：

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

All papers will undergo peer review, and accepted papers may be presented and considered for publication.

所有投稿将经过同行评审，录用论文可进行会议展示，并有机会发表。