Hybrid Conferencee

International Conference on Applied Time Series and Forecasting Methods (ICATSFM - 27)

28th - 29th June 2027 | Gyumri, Armenia
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Gyumri. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Gyumri event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Gyumri conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Gyumri, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Gyumri."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICATSFM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics, Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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