Before revision:  However, many time series applications, for example, financial time series data  are non-Gaussian, therefore, the AR model with more general heavy-tailed innovations are preferred.
After revision:  However, many time series applications, for example, financial time series data , are non-Gaussian, therefore, the AR model with more general heavy-tailed innovations are preferred.