An Introduction to Functional Data Analysis

By Ulrich Stadtmüller, Marta Zampiceni. 2015

385 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Organic Chemistry, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/fa7e4492b9e5efda27ae21e76c4e4783c16ab0d0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Emmanuel Duflos
2. Alain Rakotomamonjy
3. Stéphane Canu
4. Hachem Kadri
5. Shahid Ullah
6. Julien Audiffren
7. Caroline F. Finch
8. Philippe Preux

Citations in the corpus

• Operator-valued Kernels for Learning from Functional Response Data (2015, methodology): “For almost all these applications, the high-sampling rate of today’s acquisition devices makes it natural to directly handle functions/curves instead of discretized data.”
• Applications of functional data analysis: A systematic review (2013, background): “This represents a change in philosophy towards the handling of time series and correlated data [8].”