Search results
- 1.0571057 - ÚVGZ 2024 RIV NL eng J - Journal Article
Potopová, Vera - Trifan, T. - Trnka, Miroslav - De Michele, C. - Semerádová, Daniela - Fischer, Milan - Meitner, Jan - Musiolková, M. - Muntean, N. - Clothier, B.
Copulas modelling of maize yield losses-drought compound events using the multiple remote sensing indices over the Danube River Basin.
Agricultural Water Management. Roč. 280, APR (2023), č. článku 108217. ISSN 0378-3774. E-ISSN 1873-2283
R&D Projects: GA MŠMT(CZ) EF16_019/0000797; GA TA ČR(CZ) SS02030027
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Evaporative Stress Index * Enhanced Vegetation Index * Relative Soil Water Availability * Peak correlation timing * Coupling droughtmaize yield losses * mechanism * Four-variate C-vine copula * Food security
OECD category: Agriculture
Impact factor: 6.7, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0378377423000823?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0342366File Download Size Commentary Version Access 1-s2.0-S0378377423000823-main.pdf 4 38.5 MB Publisher’s postprint open-access - 2.0567220 - FLÚ 2023 RIV SK eng J - Journal Article
Dvořák, Petr
The Theory of Predication in Aquinas. Inherence or Identity?
Organon F. Roč. 29, č. 4 (2022), s. 406-426. ISSN 1335-0668
R&D Projects: GA ČR(CZ) GA19-06839S
Institutional support: RVO:67985955
Keywords : copula * identity * predication * Thomas Aquinas * inherence
OECD category: Philosophy, History and Philosophy of science and technology
Impact factor: 0.5, year: 2022
Method of publishing: Open access
https://doi.org/10.31577/orgf.2022.29401
Permanent Link: https://hdl.handle.net/11104/0338885 - 3.0561617 - ÚI 2024 RIV GB eng J - Journal Article
Sheikhi, A. - Mesiar, R. - Holeňa, Martin
A dimension reduction in neural network using copula matrix.
International Journal of General Systems. Roč. 52, č. 2 (2023), s. 131-146. ISSN 0308-1079. E-ISSN 1563-5104
Institutional support: RVO:67985807
Keywords : Principal component * copula * neural network * correlation * association measure
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1080/03081079.2022.2108029
Permanent Link: https://hdl.handle.net/11104/0334185 - 4.0560357 - NHU-C 2023 RIV NL eng J - Journal Article
Anatolyev, Stanislav - Pyrlik, Vladimir
Copula shrinkage and portfolio allocation in ultra-high dimensions.
Journal of Economic Dynamics & Control. Roč. 143, October (2022), č. článku 104508. ISSN 0165-1889. E-ISSN 1879-1743
R&D Projects: GA ČR(CZ) GA20-28055S
Institutional support: Cooperatio-COOP
Keywords : Gaussian copula * t copula * high dimensionality
OECD category: Applied Economics, Econometrics
Impact factor: 1.9, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.jedc.2022.104508
Permanent Link: https://hdl.handle.net/11104/0333293
Research data: data1 - 5.0545287 - NHU-C 2022 RIV CZ eng V - Research Report
Anatolyev, Stanislav - Pyrlik, Vladimir
Shrinkage for Gaussian and t copulas in ultra-high dimensions.
Prague: CERGE-EI, 2021. 55 s. CERGE-EI Working Paper Series, 699. ISSN 1211-3298
R&D Projects: GA ČR(CZ) GA20-28055S; GA MŠMT(CZ) SVV260611
Institutional support: Progres-Q24
Keywords : Gaussian copula * t copula * high dimensionality
OECD category: Applied Economics, Econometrics
https://www.cerge-ei.cz/pdf/wp/Wp699.pdf
Permanent Link: http://hdl.handle.net/11104/0322020 - 6.0545259 - NHÚ 2022 RIV CZ eng V - Research Report
Anatolyev, Stanislav - Pyrlik, Vladimir
Shrinkage for Gaussian and t copulas in ultra-high dimensions.
Prague: CERGE-EI, 2021. 55 s. CERGE-EI Working Paper Series, 699. ISSN 1211-3298
Institutional support: RVO:67985998
Keywords : Gaussian copula * t copula * high dimensionality
OECD category: Applied Economics, Econometrics
https://www.cerge-ei.cz/pdf/wp/Wp699.pdf
Permanent Link: http://hdl.handle.net/11104/0322000 - 7.0545164 - ÚTIA 2022 RIV NL eng J - Journal Article
Saminger-Platz, S. - Kolesárová, A. - Šeliga, A. - Mesiar, Radko - Klement, E.P.
The impact on the properties of the EFGM copulas when extending this family.
Fuzzy Sets and Systems. Roč. 415, č. 1 (2021), s. 1-26. ISSN 0165-0114. E-ISSN 1872-6801
Institutional support: RVO:67985556
Keywords : Dependence parameter * Eyraud-Farlie-Gumbel-Morgenstern copula * Perturbation * Polynomial copula * Schur concavity * Ultramodularity
OECD category: Statistics and probability
Impact factor: 4.462, year: 2021
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/E/mesiar-0545164.pdf https://www.sciencedirect.com/science/article/pii/S0165011420304176?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0321915 - 8.0542134 - ÚVGZ 2022 RIV GB eng J - Journal Article
Potopová, V. - Lhotka, Ondřej - Možný, M. - Musiolková, M.
Vulnerability of hop-yields due to compound drought and heat events over European key-hop regions.
International Journal of Climatology. Roč. 41, JAN (2021), E2136-E2158. ISSN 0899-8418. E-ISSN 1097-0088
R&D Projects: GA TA ČR(CZ) SS02030027
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : humulus-lupulus l. * weather conditions * acid contents * market value * climate * precipitation * waves * temperature * alpha * environment * climate-hop yield losses * compound climate events * copula technique * joint return periods
OECD category: Meteorology and atmospheric sciences
Impact factor: 3.651, year: 2021
Method of publishing: Limited access
https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.6836
Permanent Link: http://hdl.handle.net/11104/0319619 - 9.0532372 - ÚFA 2022 RIV GB eng J - Journal Article
Potopová, V. - Lhotka, Ondřej - Možný, M. - Musiolková, M.
Vulnerability of hop‐yields due to compound drought and heat events over European key‐hop regions.
International Journal of Climatology. Roč. 41, S1 (2021), E2136-E2158. ISSN 0899-8418. E-ISSN 1097-0088
Institutional support: RVO:68378289
Keywords : climate‐hop yield losses * compound climate events * copula technique * joint return periods
OECD category: Meteorology and atmospheric sciences
Impact factor: 3.651, year: 2021
Method of publishing: Limited access
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.6836
Permanent Link: http://hdl.handle.net/11104/0310897File Download Size Commentary Version Access 0532372_IntJClimat_2020_Lhotka.pdf 1 13 MB Publisher’s postprint require - 10.0525271 - ÚI 2021 RIV US eng J - Journal Article
Górecki, J. - Hofert, M. - Holeňa, Martin
Hierarchical Archimedean Copulas for Matlab and Octave: The HACopula Toolbox.
Journal of Statistical Software. Roč. 93, č. 10 (2020), s. 1-36. ISSN 1548-7660. E-ISSN 1548-7660
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : copula * hierarchical Archimedean copula * structure * family * estimation * collapsing * sampling * goodness-of-fit * Kendall’s tau * tail dependence * MATLAB * Octave
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.440, year: 2020
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0309452File Download Size Commentary Version Access 0525271-aoa.pdf 6 2.5 MB OA CC BY 3.0 Publisher’s postprint open-access