Search results
- 1.0566652 - FZÚ 2023 RIV SI eng J - Journal Article
Karafiátová, I. - Pawlas, Z. - Heller, Luděk
Statistical assessment of stress redistribution in loaded polycrystals.
Image Analysis and Stereology. Roč. 41, č. 1 (2022), s. 25-39. ISSN 1580-3139
R&D Projects: GA ČR(CZ) GA20-14114S; GA MŠMT(CZ) EF16_019/0000760
Grant - others:OP VVV - SOLID21(XE) CZ.02.1.01/0.0/0.0/16_019/0000760
Institutional support: RVO:68378271
Keywords : distance correlation * elastic anisotropy * generalised semivariogram * heteroscedasticity * lattice disorientation * test of independence
OECD category: Statistics and probability
Impact factor: 0.9, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0337967File Download Size Commentary Version Access 0566652.pdf 0 2.8 MB CC-NC licence Publisher’s postprint open-access - 2.0553129 - ÚI 2022 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan
The 2020 Election In The United States: Beta Regression Versus Regression Quantiles.
RELIK 2021. Conference Proceedings. Prague: Prague University of Economics and Business, 2021 - (Langhamrová, J.; Vrabcová, J.), s. 321-331. ISBN 978-80-245-2429-0.
[RELIK 2021: Reproduction of Human Capital - mutual links and connections. Praha (CZ), 04.11.2021-05.11.2021]
Institutional support: RVO:67985807
Keywords : elections results * electoral demography * quantile regression * heteroscedasticity * outliers
OECD category: Political science
https://relik.vse.cz/2021/download/pdf/380-Kalina-Jan-paper.pdf
Permanent Link: http://hdl.handle.net/11104/0328134File Download Size Commentary Version Access 0553129-aoa.pdf 5 471.1 KB Volně online Publisher’s postprint open-access - 3.0548703 - ÚI 2022 CZ eng A - Abstract
Kalina, Jan
The 2020 Election In The United States: Beta Regression Versus Regression Quantiles.
14th International Scientific Conference RELIK 2021. Book of Abstracts. Prague: Prague University of Economics and Business, 2021 - (Vrabcová, J.; Langhamrová, J.). s. 34-34
[RELIK 2021: Reproduction of Human Capital - mutual links and connections. 04.11.2021-05.11.2021, Praha]
Institutional support: RVO:67985807
Keywords : elections results * electoral demography * quantile regression * heteroscedasticity, outliers
Permanent Link: http://hdl.handle.net/11104/0324756File Download Size Commentary Version Access 0548703-aoa.pdf 1 126.4 KB Publisher’s postprint open-access - 4.0544026 - ÚI 2022 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Vidnerová, Petra - Tichavský, Jan
A Comparison of Trend Estimators under Heteroscedasticity.
Artificial Intelligence and Soft Computing. ICAISC 2021 Proceedings, Part I. Cham: Springer, 2021 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 89-98. Lecture Notes in Artificial Intelligence, 12854. ISBN 978-3-030-87985-3. ISSN 0302-9743.
[ICAISC 2021: The International Conference on Artificial Intelligence and Soft Computing /20./. Zakopane / Virtual (PL), 20.06.2021-24.06.2021]
R&D Projects: GA ČR(CZ) GA19-05704S; GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Nonlinear regression * Robust neural networks * Taut string * Outliers * Heteroscedasticity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0321087 - 5.0534849 - ÚI 2021 RIV RS eng J - Journal Article
Kalina, Jan
An Application of Directional Quantiles to Economic Data with a Multivariate Response.
Serbian Journal of Management. Roč. 15, č. 2 (2020), s. 193-203. ISSN 1452-4864
Grant - others:GA ČR(CZ) GA18-01137S
Institutional support: RVO:67985807
Keywords : regression quantiles * multivariate response * household expenditures * heteroscedasticity * outliers
OECD category: Statistics and probability
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0313010File Download Size Commentary Version Access 0534849-aoa.pdf 0 396.5 KB OA CC BY Publisher’s postprint open-access - 6.0511819 - ÚI 2020 RIV SK eng J - Journal Article
Kalina, Jan - Tichavský, Jan
Statistical learning for recommending (robust) nonlinear regression methods.
Journal of applied mathematics, statistics and informatics. Roč. 15, č. 2 (2019), s. 47-59. ISSN 1336-9180
R&D Projects: GA ČR(CZ) GA19-05704S
Grant - others:GA ČR(CZ) GA17-07384S
Institutional support: RVO:67985807
Keywords : Statistical learning * Nonlinear regression * Robustness * Heteroscedasticity * nonlinear least weighted squares * optimal method selection * optimization * computations
OECD category: Statistics and probability
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0302064File Download Size Commentary Version Access a0511819.pdf 8 471 KB OpenAccess Publisher’s postprint open-access - 7.0494146 - ÚI 2019 RIV CZ eng J - Journal Article
Maciak, M. - Peštová, Barbora - Pešta, M.
Structural breaks in dependent, heteroscedastic, and extremal panel data.
Kybernetika. Roč. 54, č. 6 (2018), s. 1106-1121. ISSN 0023-5954
Grant - others:GA ČR(CZ) GJ18-00522Y; GA ČR(CZ) GJ18-01781Y
Institutional support: RVO:67985807
Keywords : panel data * dependence within panels * dependence between panels * changepoint * short panels * heteroscedasticity * ratio type statistics * consistency
OECD category: Statistics and probability
Impact factor: 0.560, year: 2018
Permanent Link: http://hdl.handle.net/11104/0287404 - 8.0491783 - ÚI 2019 IT eng A - Abstract
Kalina, Jan - Peštová, Barbora
A comparison of robust nonlinear regression methods by statistical learning.
ISNPS 2018. Book of Abstracts. Salerno, 2018 - (La Rocca, M.; Liseo, B.; Parella, M.; Salmaso, L.; Tardella, L.). s. 42-42. ISBN 978-88-61970-00-7.
[ISNPS 2018. Conference of the International Society for Nonparametric Statistics /4./. 11.06.2018-15.06.2018, Salerno]
Institutional support: RVO:67985807 ; RVO:67985556
Keywords : metalearning * robust estimation * nonlinear regression * nonlinear regression quantiles * heteroscedasticity
OECD category: Statistics and probability
https://drive.google.com/file/d/13Sqxpj5A0oHiNn4jLBGSUPpSmlYvFX-0/view
Permanent Link: http://hdl.handle.net/11104/0285411File Download Size Commentary Version Access a0491783.pdf 8 4.8 MB Publisher’s postprint open-access - 9.0489955 - ÚTIA 2019 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, B.
Various Approaches to Szroeter’s Test for Regression Quantiles.
Proceedings of the 11th International Scientific Conference INPROFORUM: Innovations, Enterprises, Regions and Management. České Budějovice: University of South Bohemia in České Budějovice, 2017 - (Pech, M.), s. 361-365. ISBN 978-80-7394-667-8. E-ISSN 2336-6788.
[INPROFORUM 2017. The International Scientific Conference. Innovations, Enterprises, Regions and Management /11./. České Budějovice (CZ), 09.11.2017-10.11.2017]
R&D Projects: GA ČR GA17-07384S
Institutional support: RVO:67985556
Keywords : Heteroscedasticity * Regression median * Diagnostic tools * Asymptotics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2018/SI/kalina-0489955.pdf
Permanent Link: http://hdl.handle.net/11104/0284249 - 10.0489088 - ÚI 2019 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Peštová, Barbora
Various Approaches to Szroeter’s Test for Regression Quantiles.
Proceedings of the 11th International Scientific Conference INPROFORUM: Innovations, Enterprises, Regions and Management. České Budějovice: University of South Bohemia in České Budějovice, 2017 - (Pech, M.), s. 361-365. ISBN 978-80-7394-667-8. E-ISSN 2336-6788.
[INPROFORUM 2017. The International Scientific Conference. Innovations, Enterprises, Regions and Management /11./. České Budějovice (CZ), 09.11.2017-10.11.2017]
Institutional support: RVO:67985807
Keywords : Heteroscedasticity * Regression median * Diagnostic tools * Asymptotics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ocs.ef.jcu.cz/index.php/inproforum/INP2017/paper/view/916
Permanent Link: http://hdl.handle.net/11104/0283572File Download Size Commentary Version Access a0489088 .pdf 3 290.2 KB Publisher’s postprint require