Call For Papers
The ICHDPSM 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, 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:
- High-dimensional statistical modeling techniques
- Applications of high-dimensional probability
- Statistical inference in high dimensions
- Machine learning in high-dimensional data
- High-dimensional data visualization methods
- Regularization techniques in statistics
- High-dimensional Bayesian methods
- Statistical challenges in big data
- Applications in genomics and proteomics
- High-dimensional time series analysis
- Data mining techniques for high dimensions
- Statistical learning in high-dimensional spaces
- Applications in image processing
- High-dimensional hypothesis testing methods
- Statistical methods for network data
- High-dimensional regression techniques
- Applications in finance and economics
- Emerging trends in high-dimensional statistics
- Ethical considerations in big data analysis
- Future challenges in high-dimensional probability
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.