Mathematical statistics of regional financial spatial spillover effect based on spatial dubin model

How to correctly use the spatial measurement model to analyze the differences, causes, and influencing factors of regional finance, and to establish corresponding development strategies to keep the regional financial differences in an ideal state is one of the problems that the current regional financial development needs to face. Based on the spatial Dubin model (SEM), spatial Dubin error model (SDEM), generalized spatial Dubin model (GSAM), etc. in the spatial measurement method, this paper compares the actual effects of different models, and combines the machine learning algorithm to improve the model algorithm, and intelligently analyzes the spillover effects of regional financial space. After constructing the model, this paper takes area A as an example to analyze the spillover effect of regional financial space through the model constructed in this paper. In addition, this paper conducts an empirical analysis on the influencing factors of regional financial development and proposes corresponding strategies to provide support for the construction of regional financial centers.