| Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes FL Bayisa, M Ådahl, P Rydén, O Cronie Spatial Statistics 39, 100471, 2020 | 20 | 2020 |
| Adaptive algorithm for sparse signal recovery FL Bayisa, Z Zhou, O Cronie, J Yu Digital Signal Processing 87, 10-18, 2019 | 12 | 2019 |
| Statistical learning in computed tomography image estimation FL Bayisa, X Liu, A Garpebring, J Yu Medical physics 45 (12), 5450-5460, 2018 | 12 | 2018 |
| Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images K Kuljus, FL Bayisa, D Bolin, J Lember, J Yu Communications in Statistics: Case Studies, Data Analysis and Applications 4 …, 2018 | 6 | 2018 |
| Model-based Computed Tomography Image Estimation: Partitioning Approach FL Bayisa, J Yu arXiv preprint arXiv:1705.03799, 2017 | 4 | 2017 |
| Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern FL Bayisa, M Ådahl, P Rydén, O Cronie Journal of Agricultural, Biological and Environmental Statistics 28 (4), 664-683, 2023 | 2 | 2023 |
| Spatial point process via regularisation modelling of ambulance call risk FL Bayisa, M Ådahl, Patrik Rydén, O Cronie https://arxiv.org/abs/2207.07814, 2022 | | 2022 |
| Model-based computed tomography image estimation: partitioning approach FL Bayisa, J Yu Journal of Applied Statistics 46 (14), 2627-2648, 2019 | | 2019 |
| Statistical methods in medical image estimation and sparse signal recovery FL Bayisa Umeå University, 2018 | | 2018 |
| Prediction of CT images from MR images with hidden Markov and random field models F Bayisa, K Kuljus, A Johansson, D Bolin, J Yu METMA VIII-8th International Workshop on Spatio-temporal Modelling, Valencia …, 2016 | | 2016 |
Jun YuProfessor in Mathematical Statistics, Umeå University and SLU, Umeå, Sweden在 umu.se 的电子邮件经过验证
