3 papers
stat.ME2023
Splinets -- Orthogonal Splines and FDA for the Classification Problem
Rani Basna, Hiba Nassar, Krzysztof Podgórski
This study introduces an efficient workflow for functional data analysis in classification problems, utilizing advanced orthogonal spline bases. The methodology is based on the fle…
stat.AP2023
Spline Based Methods for Functional Data on Multivariate Domains
Rani Basna, Hiba Nassar, Krzysztof Podgórski
Functional data analysis is typically performed in two steps: first, functionally representing discrete observations, and then applying functional methods to the so-represented dat…
stat.ML2021
Machine Learning Assisted Orthonormal Basis Selection for Functional Data Analysis
Rani Basna, Hiba Nassar, Krzysztof Podgórski
In implementations of the functional data methods, the effect of the initial choice of an orthonormal basis has not gained much attention in the past. Typically, several standard b…