Conference Description:

The 2025 International Conference on Applied Statistics, Modeling and Big Data (ASMBD 2025) will be heldin-personon May 23-25, 2025 in Xi`an, China.

ASMBD is to bring together innovative academics and industrial experts in the field of applied statistics, modeling and big data in a common forum. The primary goal of the conference is to promote research and developmental activities in applied statistics, modeling and big data, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in applied statistics, modeling and big data and related areas.

The conference will recommend a variety of publication types, including conference proceedings(EI), SCI journals. If you need translation and retouching services, please contact the conference secretary. Scholars are requested to strictly abide by academic norms and ethics, and not to publish repeatedly or submit more than one manuscript.

?Call for Papers?
1. Applied statistics: experimental design, time series analysis, survival analysis, Bayesian statistics, multivariate statistics, statistical learning, non-parametric statistics, statistical simulation, statistical software application, health data statistics, etc
2. Modeling: linear regression model, random effects model, time series modeling, spatial statistical modeling, machine learning model, predictive modeling, structural equation model, reinforcement learning, model selection, complex system modeling, etc
3. Big Data: data analysis technology, data mining, data visualization, cloud computing applications, social network analysis, data privacy protection, Internet of Things data analysis, financial big data, natural language processing, big data governance, etc
4. Cross-cutting fields: Big data and statistical methods, comparison of AI and traditional statistics, public health statistics, data ethics research, multi-source data fusion, Big data in policy analysis, personalized medical modeling, Big data in social sciences, real-time data processing, Big data in Sustainable Development Goals, etc
5. Other relevant articles that meet the theme can be submitted.