| Minimal model structure analysis for input reconstruction in federated learning J Qian, H Nassar, LK Hansen arXiv preprint arXiv:2010.15718, 2020 | 18* | 2020 |
| Dyadic diagonalization of positive definite band matrices and efficient B-spline orthogonalization X Liu, H Nassar, K Podgórski Journal of Computational and Applied Mathematics 414, 114444, 2022 | 14* | 2022 |
| Data driven orthogonal basis selection for functional data analysis R Basna, H Nassar, K Podgórski Journal of Multivariate Analysis 189, 104868, 2022 | 12 | 2022 |
| Empirically driven orthonormal bases for functional data analysis H Nassar, K Podgórski Numerical Mathematics and Advanced Applications ENUMATH 2019: European …, 2020 | 5 | 2020 |
| A functional Hodrick–Prescott filter B Djehiche, H Nassar Journal of Inverse and Ill-posed Problems 25 (2), 135-148, 2017 | 4 | 2017 |
| On the functional Hodrick–Prescott filter with non-compact operators B Djehiche, A Hilbert, H Nassar Random Operators and Stochastic Equations 24 (1), 33-42, 2016 | 3 | 2016 |
| Analysing the influence of attack configurations on the reconstruction of medical images in federated learning ME Dahlgaard, MW Jørgensen, NA Fuglsang, H Nassar arXiv preprint arXiv:2204.13808, 2022 | 2 | 2022 |
| Splinets--Orthogonal Splines and FDA for the Classification Problem R Basna, H Nassar, K Podgórski arXiv preprint arXiv:2311.17102, 2023 | 1 | 2023 |
| Efficient spline orthogonal basis for representation of density functions J Burkotová, I Pavlů, H Nassar, J Machalová, K Hron arXiv preprint arXiv:2405.02231, 2024 | | 2024 |
| Empirically Driven Spline Bases for Functional Principal Component Analysis in 2D R Basna, H Nassar, K Podgórski arXiv preprint arXiv:2309.16402, 2023 | | 2023 |
| Splinets 1.5. 0--Periodic Splinets H Nassar, K Podgórski arXiv preprint arXiv:2302.07552, 2023 | | 2023 |
| A consistent estimator of the smoothing operator in the functional Hodrick–Prescott filter H Nassar Communications in Statistics-Theory and Methods 47 (12), 3029-3042, 2018 | | 2018 |
| The Hodrick-Prescott Filter: Functional aspects and statistical estimation H Nassar Linnaeus University Press, 2015 | | 2015 |
| Regularized Calibration of Jump-Diffusion Option Pricing Models H Nassar | | 2010 |
Krzysztof PodgorskiProfessor of Statistics, Lund UniversityVerified email at stat.lu.se
