Hybrid Conferencee

International Conference on Advanced Topics in Statistical Modeling and Analysis (ICATSMA - 26)

3rd - 4th September 2026 | Milan, Italy

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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 Milan. 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 Milan 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 Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, 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 Milan."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICATSMA 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, 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
Recent advancements in statistical modeling
02
Bayesian methods in statistical analysis
03
Machine learning and statistical techniques
04
Time series analysis and forecasting
05
Statistical methods for big data
06
Applications of regression analysis
07
Multilevel modeling in research
08
Statistical challenges in health sciences
09
Robust statistical methods for outliers
10
Statistical modeling in social sciences
11
Causal inference and statistical methods
12
Statistical modeling of complex data
13
Innovations in predictive modeling
14
Statistical analysis of experimental data
15
Data visualization techniques in statistics
16
Ethics in statistical research
17
Statistical methods in environmental studies
18
Statistical learning theory applications
19
Bayesian networks in decision making
20
Statistical software and tools advancements