2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
stat.CO2021★ 2 cited
Splinets -- splines through the Taylor expansion, their support sets and orthogonal bases
Krzysztof Podgórski
A new representation of splines that targets efficiency in the analysis of functional data is implemented. The efficiency is achieved through two novel features: using the recently…
math.PR2019
Signals Featuring Harmonics with Random Frequencies -- Spectral, Distributional and Ergodic Properties
Anastassia Baxevani, Krzysztof Podgórski
It has been observed that an interesting class of non-Gaussian stationary processes is obtained when in the harmonics of a signal with random amplitudes and phases, frequencies can…