| Titolo |
Pubblicato in |
Anno |
| Multiscale stick-breaking mixture models |
STATISTICS AND COMPUTING |
2021 |
| Analysing cause‐specific mortality trends using compositional functional data analysis |
JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY |
2021 |
| Mid infrared spectroscopy and milk quality traits: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021” |
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS |
2021 |
| Locally sparse functional regression with an application to mortality data |
|
2021 |
| Ridge reconstruction of partially observed functional data is asymptotically optimal |
STATISTICS & PROBABILITY LETTERS |
2020 |
| Inspecting cause-specific mortality curves by simplicial functional data analysis |
Book of short Papers SIS 2020 |
2020 |
| Classification of functional fragments by regularized linear classifiers with domain selection |
BIOMETRIKA |
2019 |
| Bayesian multiscale mixture of Gaussian kernels for density estimation |
Book of Short Papers SIS 2019 |
2019 |
| PCA-based discrimination of partially observed functional data, with an application to Aneurisk65 dataset |
STATISTICA NEERLANDICA |
2018 |
| Classification of the Aneurisk65 dataset using PCA for partially observed functional data |
Book of Short Papers SIS 2018 |
2018 |
| An object oriented approach to multimodal imaging data in neuroscience |
Studies in Neural Data Science |
2018 |
