The SAS Data Science Blog
Advanced analytics from SAS data scientists
Automating a shift-left CI/CD security workflow to track, report, and analyze software security vulnerabilities
SAS' Phuong Ngo demonstrates an automated shift-left CI/CD security workflow.
The Empirical Mode Decomposition for handling non-stationary time series
Empirical Mode Decomposition (EMD) is a powerful time-frequency analysis technique that allows for the decomposition of a non-stationary and non-linear signal into a series of intrinsic mode functions (IMFs). The method was first introduced by Huang et al. in 1998 and has since been widely used in various fields, such as signal processing, image analysis, and biomedical engineering.
Poisson HMM: The model of count time series
SAS' Ji Shen introduces you to an effective solution for modeling and forecasting count time series.