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Penalized function-on-function regression. (2015). Greven, Sonja ; Scheipl, Fabian ; Ivanescu, Andrada ; Staicu, Ana-Maria.
In: Computational Statistics.
RePEc:spr:compst:v:30:y:2015:i:2:p:539-568.

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Cited: 17

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Cites: 50

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  1. High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring. (2025). Palermi, Sergio ; di Battista, Tonio ; Sarra, Annalina ; Aguilera, Ana M ; Acal, Christian ; Evangelista, Adelia.
    In: Environmetrics.
    RePEc:wly:envmet:v:36:y:2025:i:1:n:e2852.

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  2. Penalized function-on-function linear quantile regression. (2025). Shang, Han Lin ; Beyaztas, Ufuk ; Saricam, Semanur.
    In: Computational Statistics.
    RePEc:spr:compst:v:40:y:2025:i:1:d:10.1007_s00180-024-01494-1.

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  3. Shape-based functional data analysis. (2024). Huang, Chao ; Srivastava, Anuj ; Wu, Yuexuan.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:33:y:2024:i:1:d:10.1007_s11749-023-00876-9.

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  4. Adaptive smoothing spline estimator for the function-on-function linear regression model. (2023). Vantini, Simone ; Centofanti, Fabio ; Palumbo, Biagio ; Lepore, Antonio ; Menafoglio, Alessandra.
    In: Computational Statistics.
    RePEc:spr:compst:v:38:y:2023:i:1:d:10.1007_s00180-022-01223-6.

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  5. Penalized function-on-function partial leastsquares regression. (2023). del Carmen, Maria ; Hernandez, Harold Antonio ; Preda, Cristian ; Aguilera, Ana M.
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:37758.

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  6. Function-on-Function Partial Quantile Regression. (2022). Shang, Han Lin ; Beyaztas, Ufuk ; Alin, Aylin.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:27:y:2022:i:1:d:10.1007_s13253-021-00477-9.

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  7. Inference in functional linear quantile regression. (2022). Li, Meng ; Wang, Kehui ; Maity, Arnab ; Staicu, Ana-Maria.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:190:y:2022:i:c:s0047259x22000264.

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  8. Smooth LASSO estimator for the Function-on-Function linear regression model. (2022). Vantini, Simone ; Fontana, Matteo ; Centofanti, Fabio ; Lepore, Antonio.
    In: Computational Statistics & Data Analysis.
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  9. Conditional independence testing in Hilbert spaces with applications to functional data analysis. (2022). Shah, Rajen D ; Peters, Jonas ; Lundborg, Anton Rask.
    In: Journal of the Royal Statistical Society Series B.
    RePEc:bla:jorssb:v:84:y:2022:i:5:p:1821-1850.

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  10. A partial least squares approach for function-on-function interaction regression. (2021). Shang, Han Lin ; Beyaztas, Ufuk.
    In: Computational Statistics.
    RePEc:spr:compst:v:36:y:2021:i:2:d:10.1007_s00180-020-01058-z.

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  11. Fast implementation of partial least squares for function-on-function regression. (2021). Zhou, Zhiyang.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:185:y:2021:i:c:s0047259x21000476.

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  12. Testing for the significance of functional covariates. (2020). Patilea, Valentin ; Maistre, Samuel.
    In: Journal of Multivariate Analysis.
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  13. Gaussian process methods for nonparametric functional regression with mixed predictors. (2019). Wang, BO ; Xu, Aiping.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:131:y:2019:i:c:p:80-90.

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  14. Robust depth-based estimation of the functional autoregressive model. (2019). Genton, Marc G ; Martinez-Hernandez, Israel ; Gonzalez-Farias, Graciela.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:131:y:2019:i:c:p:66-79.

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  15. Sparse estimation for functional semiparametric additive models. (2018). Lockhart, Richard A ; Sang, Peijun ; Cao, Jiguo.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:168:y:2018:i:c:p:105-118.

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  16. Function-on-function regression with thousands of predictive curves. (2018). Qi, Xin ; Luo, Ruiyan.
    In: Journal of Multivariate Analysis.
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  17. A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis. (2016). Ghosh, Sujit ; Pomann, Gina-Maria ; Staicu, Ana-Maria.
    In: Journal of the Royal Statistical Society Series C.
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    RePEc:spr:compst:v:30:y:2015:i:2:p:539-568.

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  36. Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density. (2014). Shang, Han Lin.
    In: Computational Statistics.
    RePEc:spr:compst:v:29:y:2014:i:3:p:829-848.

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  37. A survey of functional principal component analysis. (2014). Shang, Han Lin.
    In: AStA Advances in Statistical Analysis.
    RePEc:spr:alstar:v:98:y:2014:i:2:p:121-142.

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  38. Estimation of the covariance matrix in multivariate partially linear models. (2014). Przystalski, Marcin.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:123:y:2014:i:c:p:380-385.

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  39. Partially linear modeling of conditional quantiles using penalized splines. (2014). Yu, Yan ; Wu, Chaojiang.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:77:y:2014:i:c:p:170-187.

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  40. Estimator selection and combination in scalar-on-function regression. (2014). Goldsmith, Jeff ; Scheipl, Fabian.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:70:y:2014:i:c:p:362-372.

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  41. Functional k-means inverse regression. (2014). Lin, Nan ; Wang, Guochang ; Zhang, Baoxue.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:70:y:2014:i:c:p:172-182.

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  42. Testing linearity in semi-parametric functional data analysis. (2013). Vieu, Philippe ; Aneiros-Perez, German .
    In: Computational Statistics.
    RePEc:spr:compst:v:28:y:2013:i:2:p:413-434.

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  43. Nonparametric M-regression for functional ergodic data. (2013). Sekkal, Soumeya ; Laksaci, Ali ; Gheriballah, Abdelkader .
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:83:y:2013:i:3:p:902-908.

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  44. Using Bagidis in nonparametric functional data analysis: Predicting from curves with sharp local features. (2013). von Sachs, Rainer ; Delsol, Laurent ; Timmermans, Catherine.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:115:y:2013:i:c:p:421-444.

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  45. A functional linear model for time series prediction with exogenous variables. (2012). Goia, Aldo.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:82:y:2012:i:5:p:1005-1011.

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  46. Spline estimators for semi-functional linear model. (2012). Chen, Min ; Zhou, Jianjun.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:82:y:2012:i:3:p:505-513.

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  47. Partially linear varying coefficient models stratified by a functional covariate. (2012). Huang, Jianhua Z. ; Maity, Arnab.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:82:y:2012:i:10:p:1807-1814.

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  48. On prediction rate in partial functional linear regression. (2012). Lee, Myung Hee ; Shin, Hyejin.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:103:y:2012:i:1:p:93-106.

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  49. Functional linear regression after spline transformation. (2012). Lin, Nan ; Wang, Guochang ; Zhang, Baoxue.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:3:p:587-601.

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  50. Nonparametric time series forecasting with dynamic updating. (2011). Shang, Han Lin ; Hyndman, Rob ; Hyndman, Rob. J., .
    In: Mathematics and Computers in Simulation (MATCOM).
    RePEc:eee:matcom:v:81:y:2011:i:7:p:1310-1324.

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  51. Using Bagidis in nonparametric functional data analysis: predicting from curves with sharp local features. (2011). von Sachs, Rainer ; Delsol, Laurent ; Timmermans, Catherine.
    In: LIDAM Discussion Papers ISBA.
    RePEc:aiz:louvad:2011020.

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  52. Nonparametric modeling and forecasting electricity demand: an empirical study. (2010). Shang, Han Lin.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2010-19.

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  53. Forecasting Pollen Concentration by a Two-Step Functional Model. (2010). Ocaña, Francisco ; Valderrama, Mariano J. ; Ocaa-Peinado, Francisco M. ; Aguilera, Ana M..
    In: Biometrics.
    RePEc:bla:biomet:v:66:y:2010:i:2:p:578-585.

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  54. Nonparametric time series forecasting with dynamic updating. (2009). Shang, Han Lin ; Hyndman, Rob.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2009-8.

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  55. Variational Bayesian functional PCA. (2008). van der Linde, Angelika .
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:53:y:2008:i:2:p:517-533.

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  56. Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus. (2008). Valderrama, Mariano J. ; Escabias, Manuel ; Aguilera, Ana M..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:53:y:2008:i:1:p:151-163.

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  57. Forecasting binary longitudinal data by a functional PC-ARIMA model. (2008). Valderrama, Mariano J. ; Escabias, Manuel ; Aguilera, Ana M..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:52:y:2008:i:6:p:3187-3197.

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  58. No effect and lack-of-fit permutation tests for functional regression. (2007). Sarda, Pascal ; Prchal, Lubo ; Cardot, Herve.
    In: Computational Statistics.
    RePEc:spr:compst:v:22:y:2007:i:3:p:371-390.

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  59. Functional PLS logit regression model. (2007). Valderrama, M. J. ; Escabias, M. ; Aguilera, A. M..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:51:y:2007:i:10:p:4891-4902.

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