International Conference on Probabilistic Models and Statistical Inference ICPMSI

Call For Papers

The ICPMSI bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics , encouraging applied research, case studies, and industry-driven innovations.

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

Probabilistic models in statistical inference

Bayesian inference and probabilistic models

Applications of probabilistic models in science

Probabilistic modeling for complex systems

Statistical challenges in probabilistic inference

Probabilistic graphical models and applications

Markov chain Monte Carlo methods

Probabilistic models in machine learning

Applications of probabilistic models in finance

Probabilistic modeling in health sciences

Recent advancements in probabilistic statistics

Ethics in probabilistic modeling research

Probabilistic methods in environmental studies

Statistical inference with missing data

Probabilistic models for time series analysis

Applications of probabilistic models in marketing

Probabilistic modeling in social sciences

Probabilistic approaches to causal inference

Future trends in probabilistic modeling

Statistical software for probabilistic analysis

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event