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07/26/2023
Learning the regularity of multivariate functional data
Combining information both within and between sample realizations, we pr...
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06/28/2023
Adaptive functional principal components analysis
Functional data analysis (FDA) almost always involves smoothing discrete...
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07/17/2022
A 2-step estimation procedure for semiparametric mixture cure models
Cure models have been developed as an alternative modelling approach to ...
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08/14/2021
Adaptive optimal estimation of irregular mean and covariance functions
We propose straightforward nonparametric estimators for the mean and the...
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04/09/2021
Powers correlation analysis of non-stationary illiquid assets
In this paper, the higher order dynamics of individual illiquid stocks a...
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12/10/2020
Clustering multivariate functional data using unsupervised binary trees
We propose a model-based clustering algorithm for a general class of fun...
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09/08/2020
Learning the smoothness of noisy curves with application to online curve estimation
Combining information both within and across trajectories, we propose a ...
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08/12/2020
A presmoothing approach for estimation in mixture cure models
A challenge when dealing with survival analysis data is accounting for a...
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06/11/2020
Wilks' theorem for semiparametric regressions with weakly dependent data
The empirical likelihood inference is extended to a class of semiparamet...
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03/25/2020
Orthogonal Impulse Response Analysis in Presence of Time-Varying Covariance
In this paper the orthogonal impulse response functions (OIRF) are studi...
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02/24/2020
Modified Cox regression with current status data
In survival analysis, the lifetime under study is not always observed. I...
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12/13/2018
