The intersection of statistics and computer science has birthed new ways to process and interpret information.
: Used for skewed, truncated, or contaminated data with outliers.
: Handling incomplete functional observations.
: Addressing identifiability and estimation in models where variables are measured with error, such as Autoregressive ARCH models . 2. Innovations in Data Science Practice