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Call For Paper
The (ICATSFM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Statistics,Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Time series forecasting methods and applications
02
Statistical modeling of temporal data
03
Seasonal decomposition in time series analysis
04
ARIMA models for time series forecasting
05
Statistical methods for financial time series
06
Time series analysis in environmental studies
07
Machine learning techniques for time series
08
Statistical methods for anomaly detection in time series
09
Longitudinal data analysis techniques
10
Statistical software for time series analysis
11
Causal inference in time series data
12
Applications of time series in public health
13
Statistical challenges in high-frequency data
14
Time series regression modeling approaches
15
Forecasting with multivariate time series
16
Statistical methods for economic time series
17
Time series analysis in social sciences
18
Bayesian approaches to time series forecasting
19
Statistical techniques for real-time forecasting
20
Future directions in time series analysis
Peer Review Process
All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.
Registration Details
Secure your participation early. Limited slots are allocated on a first-come, first-served basis.
Publication Opportunities
High-quality submissions prioritized for publication in recognized journals and proceedings.