1
|
Elías A, Jiménez R, Paganoni AM, Sangalli LM. Integrated Depths for Partially Observed Functional Data. J Comput Graph Stat 2022. [DOI: 10.1080/10618600.2022.2070171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Antonio Elías
- OASYS Group, Department of Applied Mathematics, Universidad de Málaga
| | - Raúl Jiménez
- Department of Statistics, University Carlos III of Madrid
| | - Anna M. Paganoni
- MOX Laboratory for Modeling and Scientic Computing, Dipartimento di Matematica, Politecnico di Milano
| | - Laura M. Sangalli
- MOX Laboratory for Modeling and Scientic Computing, Dipartimento di Matematica, Politecnico di Milano
| |
Collapse
|
2
|
Kraus D, Stefanucci M. Classification of functional fragments by regularized linear classifiers with domain selection. Biometrika 2018. [DOI: 10.1093/biomet/asy060] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- David Kraus
- Department of Mathematics and Statistics, Masaryk University, Kotlářská 2, Brno, Czech Republic
| | - Marco Stefanucci
- Department of Statistical Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, Roma, Italy
| |
Collapse
|
3
|
Stefanucci M, Sangalli LM, Brutti P. PCA-based discrimination of partially observed functional data, with an application to AneuRisk65 data set. STAT NEERL 2018. [DOI: 10.1111/stan.12137] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Laura M. Sangalli
- Modelling and Scientific Computing Laboratory (MOX), Department of Mathematics; Politecnico di Milano; Milan Italy
| | | |
Collapse
|
4
|
Abstract
We congratulate the authors for their excellent work that provides a clear overview of the large and now mature field of regression models for functional data. We here complement their discussion indicating some directions of further research that we deem particularly important.
Collapse
|
5
|
Marron JS, Ramsay JO, Sangalli LM, Srivastava A. Functional Data Analysis of Amplitude and Phase Variation. Stat Sci 2015. [DOI: 10.1214/15-sts524] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
6
|
|
7
|
Patriarca M, Sangalli LM, Secchi P, Vantini S. Analysis of spike train data: An application of $k$-mean alignment. Electron J Stat 2014. [DOI: 10.1214/14-ejs865a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
8
|
Staicu AM, Lu X. Analysis of AneuRisk65 data: Classification and curve registration. Electron J Stat 2014. [DOI: 10.1214/14-ejs938c] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
9
|
Bernardi M, Sangalli LM, Secchi P, Vantini S. Analysis of proteomics data: Block $k$-mean alignment. Electron J Stat 2014. [DOI: 10.1214/14-ejs900a] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
10
|
Bernardi M, Sangalli LM, Secchi P, Vantini S. Analysis of juggling data: An application of $k$-mean alignment. Electron J Stat 2014. [DOI: 10.1214/14-ejs937a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|