2027 International Conference on Statistics, Modeling and Data Analysis

Statistics: Mathematical statistics, statistical inference, multivariate statistical analysis, Bayesian statistics, non-parametric statistics, time series analysis, regression analysis, statistical computing, stochastic processes, statistical model optimization, experimental design, sampling survey methods, survival analysis, statistical learning theory, data quality control. Mathematical Modeling: Mathematical modeling methods, complex system modeling, predictive models, optimization models, dynamic models, probability models, system simulation, decision models, economic mathematical models, engineering mathematical models, ecological models, network models, intelligent modeling methods, model evaluation and optimization, model application research. Data Analysis: Data mining, big data analysis, machine learning algorithms, deep learning models, data visualization, data fusion technology, intelligent data processing, pattern recognition, knowledge discovery, data predictive analysis, data management technology, data security analysis, artificial intelligence data application, data-driven decision-making, business data analysis.