fda.usc

fda.usc: Functional Data Analysis and Utilities for Statistical Computing. Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.


References in zbMATH (referenced in 62 articles , 1 standard article )

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  1. Fan, Ruzong; Fang, Hong-Bin: Stochastic functional linear models and Malliavin calculus (2022)
  2. Hooker, Giles; Shang, Han Lin: Selecting the derivative of a functional covariate in scalar-on-function regression (2022)
  3. Zhang, Jin-Ting; Zhu, Tianming: A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA (2022)
  4. Alawieh, Hiba; Wicker, Nicolas; Biernacki, Christophe: Projection under pairwise distance control (2021)
  5. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  6. Mrkvička, Tomáš; Roskovec, Tomáš; Rost, Michael: A nonparametric graphical tests of significance in functional GLM (2021)
  7. Oluwasegun Ojo, Rosa E. Lillo, Antonio Fernández Anta: Outlier Detection for Functional Data with R Package fdaoutlier (2021) arXiv
  8. Slaoui, Yousri: Recursive non-parametric kernel classification rule estimation for independent functional data (2021)
  9. Vinue, Guillermo; Epifanio, Irene: Robust archetypoids for anomaly detection in big functional data (2021)
  10. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  11. Boente, Graciela; Salibian-Barrera, Matías; Vena, Pablo: Robust estimation for semi-functional linear regression models (2020)
  12. Cai, Xiong; Xue, Liugen; Wang, Zhaoliang: Robust estimation with modified Huber’s function for functional linear models (2020)
  13. Cao, Ruiyuan; Du, Jiang; Zhou, Jianjun; Xie, Tianfa: FPCA-based estimation for generalized functional partially linear models (2020)
  14. Dai, Wenlin; Mrkvička, Tomáš; Sun, Ying; Genton, Marc G.: Functional outlier detection and taxonomy by sequential transformations (2020)
  15. García-Portugués, Eduardo; Álvarez-Liébana, Javier; Álvarez-Pérez, Gonzalo; González-Manteiga, Wenceslao: Goodness-of-fit tests for functional linear models based on integrated projections (2020)
  16. Mrkvička, Tomáš; Myllymäki, Mari; Jílek, Milan; Hahn, Ute: A one-way ANOVA test for functional data with graphical interpretation. (2020)
  17. Terada, Yoshikazu; Ogasawara, Issei; Nakata, Ken: Classification from only positive and unlabeled functional data (2020)
  18. Blanquero, R.; Carrizosa, E.; Jiménez-Cordero, A.; Martín-Barragán, B.: Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm (2019)
  19. Cuesta-Albertos, Juan A.; García-Portugués, Eduardo; Febrero-Bande, Manuel; González-Manteiga, Wenceslao: Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes (2019)
  20. Du, Jiang; Cao, Ruiyuan; Kwessi, Eddy; Zhang, Zhongzhan: Estimation for generalized partially functional linear additive regression model (2019)

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