Hybrid Conferencee

International Conference on Statistical Learning, Bayesian Inference, and Probability (ICSLBIP - 26)

15th - 16th July 2026 | Vienna, Austria
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Conference Brochure
Sample Full Paper
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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 Vienna. 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 Vienna 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 Vienna conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Vienna, 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 Vienna."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSLBIP 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 Probability Theory,Statistics, 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
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