Interval-valued data analysis and symbolic data techniques have emerged as vital tools in managing uncertainty and complexity inherent in modern datasets. Unlike traditional approaches that focus on ...

Big Data promises unparalleled insights, but the larger the data, the harder they are to find. One key to unlocking them was discovered by 18th century mathematicians: Topological Data Analysis (TDA).

We introduce in this work the Interval Testing Procedure (ITP), a novel inferential technique for functional data. The procedure can be used to test different functional hypotheses, e.g., ...