Hybrid Conference (In Person / Virtual)

International Conference on Time Series Analysis and Stochastic Modeling (ICTSASM - 27)
26th - 27th February 2027 , Marrakesh, Morocco
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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 Marrakesh. 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 Marrakesh conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Marrakesh 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 ICTSASM 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 Probability Theory, 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 techniques
02
Stochastic modeling of time-dependent data
03
Applications in financial time series analysis
04
Seasonal patterns in time series data
05
Statistical methods for time series analysis
06
ARIMA models and their applications
07
Longitudinal data analysis techniques
08
Nonlinear time series modeling approaches
09
Time series analysis in environmental studies
10
Machine learning for time series prediction
11
Causal inference in time series data
12
Time series analysis in healthcare
13
Multivariate time series modeling techniques
14
Applications in signal processing
15
Real-time analysis of streaming data
16
Time series anomaly detection methods
17
Bayesian approaches to time series
18
Time series analysis in social sciences
19
Forecasting with exogenous variables
20
Applications in supply chain management

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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