Introduction to Functional Data Analysis
By Piotr Kokoszka, Matthew Reimherr. 2017
302 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c15e4011e5d8382558612144092e9e07a4d98c02
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In Statistics and Probability
- Chao Zhang
- Alexander Petersen
- Piotr Kokoszka
- Lajos Horv'ath
- Matthew Reimherr
- Gregory Rice
- Victor M. Panaretos
- Alexander Aue
Citations in the corpus
- Wasserstein autoregressive models for density time series (2020, background): “…the image of under this map is a convex cone in f⊕, so it is not immediately possible to impose onto the tangent space standard structures used for functional time series, which rely on linearity of the function space (see e.g., Chapter 8 of Kokoszka and Reimherr (2017) and references therein).”
- Long-Range Dependent Curve Time Series (2020, unknown): “Following Aue, Horváth, and Pellatt (2017) and Kokoszka and Reimherr (2017), we introduce the intraday log-returns Xt(u) = ln SPt(u) − ln SPt(u − h), (5.1) where h is a time window typically chosen as 1, 5, or 15 min.”