Author:
Xu Tengteng,Zhang Riquan,Zhang Xiuzhen
Funder
national natural science foundation of china
the 111 project
project of national social science fund of china
the open research fund of key laboratory of advanced theory and application in statistics and data science-moe, ecnu
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Reference41 articles.
1. Aguilera AM, Escabias M, Valderrama MJ (2006) Using principal components for estimating logistic regression with high-dimensional multicollinear data. Comput Stat Data Anal 50(8):1905–1924
2. Aguilera-Morillo MC, Durbán M, Aguilera AM (2017) Prediction of functional data with spatial dependence: a penalized approach. Stoch Environ Res Risk Assess 31(1):7–22
3. Arnone E, Azzimonti L, Nobile F, Sangalli L (2018) Modeling spatially dependent functional data via regression with diffierential regularization. J Multivar Anal 170:275–295
4. Arnone E, Sangalli LM, Vicini A (2021) Smoothing spatio-temporal data with complex missing data patterns. Stat Modell, 1471082X211057959
5. Chamroukhi F, Samé A, Govaert G, Aknin P (2010) A hidden process regression model for functional data description. Appl Curve Discrim Neurocomput 73(79):1210–1221