International Conference on Nonparametric Statistics and Inference Methods
(ICNSIM-26)

21st November 2026 || Guwahati - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Nonparametric Statistics and Inference Methods (ICNSIM), scheduled to be held on 21st November 2026 in Guwahati, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Probability Theory,Statistics.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Nonparametric Inference
    This track focuses on the latest developments in nonparametric inference methods, emphasizing their theoretical foundations and practical applications. Researchers are encouraged to present innovative approaches that enhance the robustness and efficiency of nonparametric techniques. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Probability Theory and Its Applications
    This session aims to explore the fundamental principles of probability theory and its diverse applications across various fields. Contributions that bridge theoretical insights with practical implementations are particularly welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Statistical Modeling Techniques
    This track invites discussions on advanced statistical modeling techniques, including both parametric and nonparametric approaches. Papers that highlight novel modeling strategies and their applications in real-world scenarios are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Regression Analysis in Nonparametric Contexts
    This session will delve into regression analysis methodologies within nonparametric frameworks. Presentations should focus on innovative regression techniques that address complex data structures and enhance predictive accuracy. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Clustering and Classification Methods
    This track emphasizes the development and application of clustering and classification methods in nonparametric statistics. Researchers are invited to share novel algorithms and their effectiveness in various data-driven contexts. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Kernel Methods and Smoothing Techniques
    This session will explore the application of kernel methods and smoothing techniques in nonparametric statistics. Contributions that demonstrate the utility of these methods in enhancing data analysis and interpretation are highly encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Simulation Techniques in Statistical Inference
    This track focuses on the role of simulation techniques in statistical inference, particularly in nonparametric contexts. Papers that showcase innovative simulation methodologies and their applications in statistical research are welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Quantitative Methods in Data Science
    This session aims to bridge quantitative methods with data science applications, highlighting the role of nonparametric statistics in data analysis. Researchers are encouraged to present studies that integrate statistical theory with practical data science challenges. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Predictive Analytics and Machine Learning
    This track invites contributions that explore the intersection of predictive analytics, machine learning, and nonparametric statistics. Papers that demonstrate the effectiveness of nonparametric methods in enhancing predictive models are particularly sought after. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Artificial Intelligence in Statistical Inference
    This session will examine the integration of artificial intelligence techniques with statistical inference methods. Researchers are encouraged to present innovative applications that leverage AI to advance nonparametric statistical methodologies. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Hypothesis Testing in Nonparametric Frameworks
    This track focuses on hypothesis testing methodologies within nonparametric frameworks, addressing both theoretical and practical aspects. Contributions that propose new testing procedures or enhance existing ones are highly encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

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