Search results
- 1.0533072 - ÚI 2021 CZ eng D - Thesis
Pidnebesna, Anna
Statistical Analysis of the Spatiotemporal Processes.
Czech Technical University in Prague, Faculty of Electrical Engineering. Defended: Prague. 16. 9. 2020. - Prague: Czech Technical University in Prague, 2020. 89 s.
Keywords : spatiotemporal point process * multivariate time series * neuronal activity estimation * deconvolution methods * intensity function * K-function * pair-correlation function * change point * Dantzig Selector * LASSO * adjusted Akaike Information Criterion * Bayesian Information Criterion * effective connectivity * functional magnetic resonance imaging * hemodynamic response
Permanent Link: http://hdl.handle.net/11104/0311564File Download Size Commentary Version Access 0533072-a-apdise.pdf 6 18 MB Other open-access - 2.0501823 - FZÚ 2019 RIV US eng J - Journal Article
Šedivý, O. - Westhoff, D. - Kopeček, Jaromír - Krill, C.E. - Schmidt, V.
Data-driven selection of tessellation models describing polycrystalline microstructures.
Journal of Statistical Physics. Roč. 172, č. 5 (2018), s. 1223-1246. ISSN 0022-4715. E-ISSN 1572-9613
R&D Projects: GA ČR GC17-00393J
Institutional support: RVO:68378271
Keywords : model selection * polycrystalline material * tessellation * akaike information criterion * Bayesian information criterion * structural risk minimization
OECD category: Statistics and probability
Impact factor: 1.513, year: 2018
Permanent Link: http://hdl.handle.net/11104/0293803 - 3.0347817 - ÚI 2011 RIV DE eng C - Conference Paper (international conference)
Řezanková, H. - Húsek, Dušan - Löster, T.
Clustering with Mixed Type Variables and Determination of Cluster Numbers.
Proceedings of COMPSTAT 2010. Heidelberg: Physica Verlag, 2010 - (Lechevallier, Y.; Saporta, G.), s. 1525-1532. ISBN 978-3-7908-2603-6.
[COMPSTAT 2010. International Conference on Computational Statistics /19./. Paris (FR), 22.08.2010-27.08.2010]
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Institutional research plan: CEZ:AV0Z10300504
Keywords : cluster analysis * entropy * Gini's coefficient of mutability * cluster number determination * Schwarz's Bayesian information criterion
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0188506File Download Size Commentary Version Access a0347817.pdf 0 412.2 KB jiné číslování stránek Publisher’s postprint require - 4.0347798 - ÚI 2011 FR eng A - Abstract
Řezanková, H. - Húsek, Dušan - Löster, T.
Clustering with Mixed Type Variables and Determination of Cluster Numbers.
COMPSTAT’2010. Book of Abstracts. Paris, 2010. s. 17-17.
[COMPSTAT 2010. International Conference on Computational Statistics /19./. 22.08.2010-27.08.2010, Paris]
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Institutional research plan: CEZ:AV0Z10300504
Keywords : cluster analysis * entropy * Gini’s coefficient of mutability * cluster number determination * Schwarz’s Bayesian information criterion
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0188490