The ARHD model
classification
🧮 math.ST
stat.TH
keywords
modelarhdappearsautoregressivecasecomparisonsconvergentcurves
read the original abstract
We introduce and study a new model for functional data. The ARHD is an autoregressive model in which the first order derivative of the random curves appears explicitely. Convergent estimates are obtained through a double penalization method. A simluation and a real case study follow as well as comparisons with other recent techniques.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.