Hybrid Conference (In Person / Virtual)

International Conference on Applied Time Series and Forecasting Methods (ICATSFM - 27)
6th - 7th April 2027 , Samarkand, Uzbekistan
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Conference Notifications:

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

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Samarkand. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Samarkand conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Samarkand and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICATSFM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Statistics, Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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