Hybrid Conference (In Person / Virtual)

International Conference on Statistical Learning, Bayesian Inference, and Probability (ICSLBIP - 27)
20th - 21st March 2027 , Lisbon, Portugal
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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 Lisbon. 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 Lisbon conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Lisbon 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 ICSLBIP 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, Statistics, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Bayesian inference in machine learning
02
Statistical learning for big data applications
03
Bayesian methods in clinical trials
04
Statistical learning in image recognition
05
Bayesian inference for time series analysis
06
Statistical learning in natural language processing
07
Bayesian approaches to causal inference
08
Statistical learning for predictive modeling
09
Bayesian methods in environmental statistics
10
Statistical learning in financial forecasting
11
Bayesian inference in genetics research
12
Statistical learning for social network analysis
13
Bayesian methods in risk assessment
14
Statistical learning in marketing analytics
15
Bayesian inference for spatial data
16
Statistical learning in healthcare analytics
17
Bayesian methods for multivariate analysis
18
Statistical learning in sports analytics
19
Bayesian inference in education research
20
Statistical learning for recommendation systems

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.

Submit Paper Before Deadline Register Now – Limited Slots
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