+1 7178835943 [email protected]
Hybrid Event (In-person or Virtual participation)

International Conference on Mathematics, Probability and Statistics · Registering as Listener

ICMPAS
📅 11 – 12 Jun 2027 📍 Quebec City, Canada 👥 Standard / Physical Participation
Listener Registration From
$185
Registration Benefits:
Official invitation letterIssued automatically after registration
🎖 Certificate & digital materialsGet certificate, slides and resource materials
🌐 Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon Code (If Any)

Have a code? Apply it here — the discount updates the total immediately.

🏷

For Support Please Contact

VISAMASTERCARDNET BANKINGUPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceInternational Conference on Mathematics, Probability and Statistics
ModeStandard / Physical
ParticipationListener
Registration fee$185.00
Bank charges (5.8%)$10.73
Total payable $195.73

Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

📞 +91 93445 35349

Benefits of Registering as Listener

👥Access to Conference Sessions
🔗Networking Opportunities
🎖Certificate of Participation
Invitation Letter Support
📚Conference Kit / Materials
🎤Access to Keynote Sessions
• Conference Session Tracks •
SDG

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 7 SDG 9

This track focuses on recent developments in mathematical theories and methodologies. Contributions that explore innovative approaches and applications in various fields of mathematics are encouraged.

This session aims to discuss the integration of statistical computing techniques in data analysis. Papers that highlight novel algorithms and software tools for statistical modeling are welcome.

This track covers the principles and applications of descriptive and inferential statistics. Submissions that illustrate the use of these techniques in real-world scenarios are particularly encouraged.

This session emphasizes the role of computational methods in statistical analysis. Researchers are invited to present their findings on computational techniques that enhance statistical inference.

This track explores the foundational aspects of probability theory and its applications across various disciplines. Papers that connect theoretical insights with practical implementations are sought.

This session focuses on statistical estimation techniques and the role of pivotal quantities in inference. Contributions that provide new perspectives on these topics are highly encouraged.

This track examines methodologies for error analysis and the construction of confidence intervals. Submissions that propose new approaches or improvements in these areas are welcome.

This session delves into the theory and application of hypothesis testing, including null and alternative hypotheses. Papers that present innovative testing methods or case studies are encouraged.

This track highlights the intersection of linear algebra and statistics, focusing on applications in data analysis and modeling. Contributions that demonstrate the utility of linear algebraic methods in statistical contexts are invited.

This session addresses the application of mathematical methods in various scientific fields. Researchers are encouraged to share their experiences and findings that illustrate the impact of mathematics on scientific inquiry.

This track explores the synergy between computational science and statistical innovations. Papers that discuss cutting-edge computational techniques and their statistical implications are welcome.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED