Application of statistical learning in macroeconomic uncertainty modeling

Abstract

With the rapid development of computer technology, the application of statistical learning and macroeconomic modeling in the study of macroeconomic uncertainty has been paid more and more attention. In this paper, the application of computer technology in macroeconomic uncertainty analysis is deeply discussed. By combining questionnaire design, data collection, model selection, implementation, and validation, it reveals how computer technology has brought unprecedented convenience and accuracy to macroeconomic research. The results show that, especially in economic strategy simulation, the application of computer parallelization technology greatly accelerates the training and verification process of the model. However, this technique also has some limitations when dealing with complex economic relationships, and researchers need to have a deep understanding of economic principles to ensure the accuracy of the model. It provides a valuable reference for economic research and practice, and lays a solid foundation for future research and practice.