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 ...

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., ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...