Review of the evolution of statistical models and deep learning models: Based on the perspective of ARIMA and SVM

Abstract

The importance of the evolution of statistical models and deep learning models, such as autoregressive integrated moving average model (ARIMA) and support vector machine (SVM), has drawn much attention from scholars. This paper investigates the evolution of statistical models and deep learning models based on the perspective of ARIMA and SVM. Then, this paper finds that there are some limitations of the literature on ARIMA and SVM, including less attention to causal inference, the scarce application of the future option, and the deep exploration of parameter optimization.