Call For Papers

The ICPASM 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:

01
Predictive analytics techniques and applications
02
Machine learning in predictive modeling
03
Statistical methods for forecasting
04
Applications of predictive analytics in business
05
Predictive modeling in healthcare
06
Ethics in predictive analytics research
07
Predictive analytics in social sciences
08
Time series forecasting methods
09
Predictive analytics for customer behavior
10
Statistical challenges in predictive modeling
11
Predictive analytics in finance and investment
12
Big data and predictive analytics integration
13
Applications of predictive modeling in marketing
14
Predictive analytics for risk assessment
15
Recent advancements in predictive analytics
16
Predictive modeling in sports analytics
17
Data visualization in predictive analytics
18
Predictive analytics for supply chain management
19
Future trends in predictive modeling
20
Statistical software for predictive analytics

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.

Publication

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



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