| An approach to structure determination and estimation of hierarchical Archimedean copulas and its application to Bayesian classification J Górecki, M Hofert, M Holeňa Journal of Intelligent Information Systems 46 (1), 21-59, 2016 | 44 | 2016 |
| On structure, family and parameter estimation of hierarchical Archimedean copulas J Górecki, M Hofert, M Holeňa Journal of Statistical Computation and Simulation 87 (17), 3261-3324, 2017 | 31 | 2017 |
| On the consistency of an estimator for hierarchical Archimedean copulas J Górecki, M Hofert, M Holena 32nd International Conference on Mathematical Methods in Economics, 239-244, 2014 | 17 | 2014 |
| Kendall’s tau and agglomerative clustering for structure determination of hierarchical Archimedean copulas J Górecki, M Hofert, M Holeňa Dependence Modeling 5 (1), 75-87, 2017 | 14 | 2017 |
| Structure determination and estimation of hierarchical Archimedean copulas based on Kendall correlation matrix J Górecki, M Holeňa New Frontiers in Mining Complex Patterns: Second International Workshop …, 2014 | 13 | 2014 |
| Visual investigation of similarities in global terrorism database by means of synthetic social networks J Gorecki, K Slaninová, V Snášel 2011 international conference on computational aspects of social networks …, 2011 | 12 | 2011 |
| Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation J Górecki, M Hofert, O Okhrin Computational statistics & data analysis 155, 107109, 2021 | 11 | 2021 |
| An alternative approach to the structure determination of hierarchical Archimedean copulas J Górecki, M Holena 31st International Conference on Mathematical Methods in Economics, 201-206, 2013 | 8 | 2013 |
| Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox J Górecki, M Hofert, M Holena Journal of Statistical Software 93 (10), 2020 | 7 | 2020 |
| On the accuracy of copula-based bayesian classifiers: an experimental comparison with neural networks L Slechan, J Górecki Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015 | 6 | 2015 |
| Building synthetic social network using association rules and clustering methods: case study on global terrorism database J Górecki, K Slaninová Acta academica karviniensia. URL: http://www. slu. cz/opf/cz/informace/acta …, 2017 | 4 | 2017 |
| Composite pseudo-likelihood estimation for pair-tractable copulas such as Archimedean, Archimax and related hierarchical extensions J Górecki, M Hofert Journal of Statistical Computation and Simulation 93 (13), 2321-2355, 2023 | 2 | 2023 |
| An experimental comparison of Value at Risk estimates based on elliptical and hierarchical Archimedean copulas M Kubát, J Górecki 33rd International Conference Mathematical Methods in Economics: Conference …, 2015 | 2 | 2015 |
| Stability of financial market: the introduction to the java simulation of agent-based model R Šperka, M Spišák, J Górecki Neves-Silva, R., Watada, J., Phillips-Wren, G., Jain, LC, Howlett, RJ (eds …, 2013 | 2 | 2013 |
| Expertní systémy J Górecki Karviná: Slezská univerzita v Opavě Obchodně podnikatelská fakulta v Karviné, 2017 | 1 | 2017 |
| Analiza organizacji oraz metod upowszechniania wiedzy rolniczej w Polsce J Górecki | 1 | 1963 |
| Robustness of priority deriving methods for pairwise comparison matrices against rank reversal: a probabilistic approach J Górecki, D Bartl, J Ramík Annals of Operations Research 333 (1), 249-273, 2024 | | 2024 |
| Pair programming with ChatGPT for sampling and estimation of copulas J Górecki Computational Statistics, 1-31, 2023 | | 2023 |
| COMPUTING PRIORITY VECTORS OF PAIRWISE COMPARISON MATRICES: A REVIEW OF EXISTING SOFTWARE FOR SMALL AND MEDIUM-SIZED ENTERPRISES J Górecki 4th International conference on Decision making for Small and Medium-Sized, 69, 2023 | | 2023 |
| Pair Programming with Large Language Models for Sampling and Estimation of Copulas J Górecki arXiv preprint arXiv:2303.18116, 2023 | | 2023 |
Martin HolenaVerified email at cs.cas.cz
