Solt Kovács
Solt Kovács
postdoctoral researcher, ETH Zurich
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Cited by
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
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
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
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
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
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
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
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
Combined Cluster and Discriminant Analysis
S Kovács, J Kovács, P Tanos
package ‘ccda’in R 1-6, 2014
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
Random Forests for Change Point Detection
M Londschien, P Bühlmann, S Kovács
arXiv preprint arXiv:2205.04997, 2022
Change point detection algorithms and methodology for large-scale data
S Kovács
ETH Zurich, 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
Kalibrierung von Rating-Migrationsmatrizen als zeitstetige, zeithomogene und monotone Markovprozesse
S Kovacs
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Articles 1–14