Happ C (2018): Object-Oriented Software for Functional Data. Submitted. arXiv.
Happ C, Scheipl F, Gabriel A-A, Greven S (2018): A General Framework for Multivariate Functional Principal Component
Analysis of Amplitude and Phase Variation. Submitted. arXiv.
Talks
Identifiability and Multicollinearity in
Scalar-on-Functions Regression Doktorandentreffen Stochastik 2014, 06.-08. August
2014, Halle (Saale), Germany
Identifiability and Multicollinearity in
Scalar-on-Functions Regression 20. DStatG Nachwuchsworkshop, 15.-16. September 2014,
Hannover, Germany
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains CMStatistics 2015, 12.-14. December 2015,
London, United Kingdom
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains DAGStat 2016, 14.-18. March 2016,
Göttingen, Germany
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains JSM 2016, 31. July - 04. August 2016,
Chicago, USA
David P. Byar Young Investigator Award awarded by the Biometrics Section of the American Statistical Association (ASA)
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains COMPSTAT 2016, 23. - 26. August 2016,
Oviedo, Spain
Two R-Packages for Object-Oriented Functional Data Analysis COMPSTAT 2016, Satellite Workshop and Summer Course on Functional Data Analysis, 26 - 28. August 2016,
Oviedo, Spain
Travel grant for PhD students and Early Career Investigators
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains IBS Channel Network Conference, 24. - 26. April 2017,
Hasselt, Belgium
Invited Talk
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains CEN ISBS 2017, 28. August - 01. September 2017,
Vienna, Austria
Gustav-Adolf-Lienert-Preis of the International Biometric Society, German Region
Identifiability and multicollinearity in scalar-on-functions regression CMStatistics 2017, 16.-18. December 2017,
London, United Kingdom
Invited Talk
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains IMS Annual Meeting on Probability and Statistics, 02.-06. July 2018,
Vilnius, Lithuania
Invited Talk
Posters
A Fully Bayesian Hierarchical Model for Scalar-on-Image
Regression Bayesian Biostatistics 2014, 02.-04. Juli 2014,
Zurich, Switzerland
Software
R-package funData: An S4
class for functional data. Natural representation and basic functionality (print,
plot, arithmetics, simulation, ...) for univariate and multivariate
functional data. Supports multivariate functional data on
different dimensional domains.
R-package MFPCA: Multivariate Functional Pricipal Component Analysis for Data Observed on Different (Dimensional) Domains. Calculate a PCA for multivariate functional data on different domains, that may also differ in dimension. The package is based on funData (see above) and implements various univariate bases for functional data on up to three-dimensional domains.
Refereeing
Biometrics, European Journal of Operational Research, Journal of Statistical Planning and Inference, Statistica Sinica
