New paper on splines and data depth with cmdstanpy

Together with my collegues Katarzyna Grobler-Dębska and Edyta Kucharska we have published a new paper titled " Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth" in the Energies journal.
We use splines and data depth to perform fault analysis in electrical cables.
We have used cmdstanpy for our computation.

Link: Energies | Free Full-Text | Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth
BibTex:
@article{en14185893,
article-number = {5893},
author = {Baranowski, Jerzy and Grobler-D{\k e}bska, Katarzyna and Kucharska, Edyta},
doi = {10.3390/en14185893},
issn = {1996-1073},
journal = {Energies},
number = {18},
title = {Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth},
volume = {14},
year = {2021}}

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Nice!

I love functional depths! I find them particularly useful and with so much potential in Bayesian data analysis… Great!

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