| Seeded Binary Segmentation: A general methodology for fast and optimal change point detection S Kovács, H Li, P Bühlmann, A Munk arXiv preprint arXiv:2002.06633, 2020 | 81 | 2020 |
| Classification into homogeneous groups using combined cluster and discriminant analysis J Kovács, S Kovács, N Magyar, P Tanos, IG Hatvani, A Anda Environmental modelling & software 57, 52-59, 2014 | 68 | 2014 |
| Optimization of the monitoring network on the River Tisza (Central Europe, Hungary) using combined cluster and discriminant analysis, taking seasonality into account P Tanos, J Kovács, S Kovács, A Anda, IG Hatvani Environmental Monitoring and Assessment 187 (9), 1-14, 2015 | 54 | 2015 |
| Change-point detection for graphical models in the presence of missing values M Londschien, S Kovács, P Bühlmann Journal of Computational and Graphical Statistics 30 (3), 768-779, 2021 | 33 | 2021 |
| Spatial Optimization of Monitoring Networkson the Examples of a River, a Lake-Wetland System and a Sub-Surface Water System J Kovács, S Kovács, IG Hatvani, N Magyar, P Tanos, J Korponai, ... Water resources management 29 (14), 5275-5294, 2015 | 30 | 2015 |
| Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries S Kovács, H Li, L Haubner, A Munk, P Bühlmann arXiv preprint arXiv:2010.10194, 2020 | 19 | 2020 |
| Random Forests for Change Point Detection M Londschien, P Bühlmann, S Kovács arXiv preprint arXiv:2205.04997, 2022 | 16 | 2022 |
| Springs regarded as hydraulic features and interpreted in the context of basin-scale groundwater flow Á Tóth, S Kovács, J Kovács, J Mádl-Szőnyi Journal of Hydrology, 127907, 2022 | 15 | 2022 |
| Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation S Kovács, T Ruckstuhl, H Obrist, P Bühlmann arXiv preprint arXiv:2101.02148, 2021 | 12 | 2021 |
| Seeded intervals and noise level estimation in change point detection: a discussion of Fryzlewicz (2020) S Kovács, H Li, P Bühlmann Journal of the Korean Statistical Society 49 (4), 1081-1089, 2020 | 5 | 2020 |
| Combined Cluster and Discriminant Analysis S Kovács, J Kovács, P Tanos package ‘ccda’in R 1-6, 2014 | 4 | 2014 |
| Change point detection algorithms and methodology for large-scale data S Kovács ETH Zurich, 2021 | | 2021 |
| Change point detection for high-dimensional linear regression and its applications for covariance matrices S Kovács, P Bühlmann of the 9-th International Workshop on Applied Probability, 89, 2018 | | 2018 |
| Kalibrierung von Rating-Migrationsmatrizen als zeitstetige, zeithomogene und monotone Markovprozesse S Kovacs | | 2013 |
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
