Životopis

Curriculum vitae

Name, first names, scientific degrees

• Koláček, Jan, Mgr., Ph.D., doc.

Department/Faculty/University

• Department of Mathematics and Statistics, Faculty of Science, Masaryk University

Function, current position

• Associate Professor

Education and academic qualifications

• 2015: doc. - Theory and Practice of Kernel Smoothing, Dept. of Mathematics and Statistics, Masaryk University
• 2005: Ph.D. - Kernel estimates of the regression function, Dept. of applied mathematics, Masaryk University
• 2000: Mgr. - Nonnegative matrices, Dept. of applied mathematics, Masaryk University

Professional experience

• 2005: Dept. of Mathematics and Statistics, Masaryk University, Assistant Professor
• 2000 - 2005: Faculty of Electrical Engineering and Communication Brno University of Technology, Assistant Professor

Teaching activities

• Numerical methods, Statistics and Probability

Research activities

• Kernel smoothing, functional data analysis

Major publications

• KOLÁČEK, Jan, David VALIŠ, Mária FUKSOVÁ, Jiří HLINKA a Petr PROCHÁZKA. Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model. Applied Energy. Elsevier Ltd, 2025, roč. 377, January, s. 124496-124510. ISSN 0306-2619. Dostupné z: https://dx.doi.org/10.1016/j.apenergy.2024.124496. URL info
• VALIŠ, David, Jiří HLINKA, Jan KOLÁČEK, Petr PROCHÁZKA, Ondřej POKORA, Radoslav CIPÍN a Rostislav KOŠTIAL. Comprehensive Study on Reliability, Deterioration, and Ageing of Lithium-Ion Batteries in Electric-Powered Aircraft Assessed after a Storage Period Using Functional Data Analysis and Non-Parametric Back up. Engineering Failure Analysis. Elsevier Ltd, 2023, roč. 154, December 2023, s. 1-27. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2023.107661. URL info
• KROUPOVÁ, Monika, Ivanka HOROVÁ a Jan KOLÁČEK. Kernel estimation of regression function gradient. Communications in Statistics - Theory and Methods. Philadelphia: TAYLOR & FRANCIS INC, 2020, roč. 49, č. 1, s. 135-151. ISSN 0361-0926. Dostupné z: https://dx.doi.org/10.1080/03610926.2018.1532518. Full Text info
• KOLÁČEK, Jan, Ondřej POKORA, Daniela KURUCZOVÁ a Tzai-Wen CHIU. Benefits of functional PCA in the analysis of single-trial auditory evoked potentials. Computational Statistics. Germany: Springer, 2019, roč. 34, č. 2, s. 617-629. ISSN 0943-4062. Dostupné z: https://dx.doi.org/10.1007/s00180-018-0819-6. Full Text info
• HOLTANOVÁ, Eva, Thomas MENDLIK, Jan KOLÁČEK, Ivanka HOROVÁ a Jiří MIKŠOVSKÝ. Similarities within a multi-model ensemble: functional data analysis framework. Geoscientific Model Development. Göttingen: Copernicus Publications, 2019, roč. 12, č. 2, s. 735-747. ISSN 1991-959X. Dostupné z: https://dx.doi.org/10.5194/gmd-12-735-2019. Full Text info
• VALIŠ, David, Ondřej POKORA a Jan KOLÁČEK. System failure estimation based on field data and semi-parametric modeling. Engineering Failure Analysis. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2019, roč. 101, JUL 2019, s. 473-484. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2019.04.014. Full Text info
• SVOBODOVÁ, Jana a Jan KOLÁČEK. Bayesian Geographical Profiling in Terrorism Revealing. STATISTIKA-STATISTICS AND ECONOMY JOURNAL. Czech Statistical Office, 2018, roč. 98, č. 3, s. 295-305. ISSN 0322-788X. URL info
• KOLÁČEK, Jan a Ivanka HOROVÁ. Bandwidth matrix selectors for kernel regression. Computational Statistics. HEIDELBERG, GERMANY: SPRINGER HEIDELBERG, 2017, roč. 32, č. 3, s. 1027-1046. ISSN 0943-4062. Dostupné z: https://dx.doi.org/10.1007/s00180-017-0709-3. URL info
• KURUCZOVÁ, Daniela a Jan KOLÁČEK. Bandwidth Selection Problem in Nonparametric Functional Regression. Statistika: Statistics and Economy Journal. Prague: Czech Statistical Office, 2017, roč. 97, č. 3, s. 107-115. ISSN 0322-788X. Statistika: Statistics and Economy Journal info
• POKORA, Ondřej, Jan KOLÁČEK, Tzai-Wen CHIU a Wei QIU. Functional data analysis of single-trial auditory evoked potentials recorded in the awake rat. BioSystems. Oxford: ELSEVIER SCI LTD, 2017, roč. 161, November, s. 67-75. ISSN 0303-2647. Dostupné z: https://dx.doi.org/10.1016/j.biosystems.2017.09.002. URL info
• KOLÁČEK, Jan a Ivanka HOROVÁ. Selection of bandwidth for kernel regression. Communications in Statistics - Theory and Methods. Marcel Dekker, 2016, roč. 45, č. 5, s. 1487-1500. ISSN 0361-0926. Dostupné z: https://dx.doi.org/10.1080/03610926.2013.864770. info
• KOLÁČEK, Jan. Theory and Practice of Kernel Smoothing - habilitation thesis. Brno: Neuveden, 2015, 176 s. http://www.muni.cz/research/acad_qualif/507499 info
• LAJDOVÁ, Dagmar, Jan KOLÁČEK a Ivanka HOROVÁ. Kernel Regression Model with Correlated Errors. In C H Skiadas. Theoretical and Applied Issues in Statistics and Demography. Athens: International Society for the Advancement of Science and Technology (ISAST), 2014, s. 3-14. ISBN 978-618-81257-7-3. info
• KONEČNÁ, Kateřina, Ivanka HOROVÁ a Jan KOLÁČEK. Conditional Density Estimations. In C H Skiadas. Theoretical and Applied Issues in Statistics and Demography. Athens: International Society for the Advancement of Science and Technology (ISAST), 2014, s. 15-31. ISBN 978-618-81257-7-3. info
• HOROVÁ, Ivanka, Jan KOLÁČEK a Kamila VOPATOVÁ. Full bandwidth matrix selectors for gradient kernel density estimate. Computational Statistics & Data Analysis. ELSEVIER, 2013, roč. 57, č. 1, s. 364-376. ISSN 0167-9473. Dostupné z: https://dx.doi.org/10.1016/j.csda.2012.07.006. info
• HOROVÁ, Ivanka, Jan KOLÁČEK a Kamila VOPATOVÁ. Visualization and Bandwidth Matrix Choice. Communications in Statistics - Theory and Methods. Philadelphia: Taylor & Francis, 2012, roč. 41, č. 4, s. 759-777. ISSN 0361-0926. Dostupné z: https://dx.doi.org/10.1080/03610926.2010.529539. info
• HOROVÁ, Ivanka, Jan KOLÁČEK a Jiří ZELINKA. Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing. Singapore: World Scientific Publishing Co. Pte. Ltd., 2012, 244 s. ISBN 978-981-4405-48-5. URL info
• KOLÁČEK, Jan a Rohana J. KARUNAMUNI. A generalized reflection method for kernel distribution and hazard functions estimation. Journal of Applied Probability and Statistics. Montgomery: Dixie W Publishing Corporation, 2011, roč. 6, č. 2, s. 73-85. ISSN 1930-6792. info
• KOLÁČEK, Jan a Rohana J. KARUNAMUNI. On boundary correction in kernel estimation of ROC curves. Austrian Journal of Statistics. 2009, roč. 38, č. 1, s. 17-32. ISSN 1026-597X. info
• KOLÁČEK, Jan. Kernel Regression Toolbox for Matlab. 2009. URL info
• KOLÁČEK, Jan. Plug-in method for nonparametric regression. Computational Statistics. Germany: Physica-Verlag, 2008, roč. 2008, č. 1, s. 63-78. ISSN 0943-4062. info
• HOROVÁ, Ivanka, Jan KOLÁČEK, Jiří ZELINKA a Abdel H. EL-SHAARAWI. Smooth Estimates of Distribution Functions with Application in Environmental Studies. In Advanced topics on mathematical biology and ecology. 1. vyd. Mexico: WSEAS Press, 2008, s. 122-127. ISBN 978-960-6766-32-9. info
• KOLÁČEK, Jan a Jitka POMĚNKOVÁ. A Comparative Study of Boundary Effects for Kernel Smoothing. Austrian Journal of Statistics. Austria, 2006, roč. 35/2006, č. 2, s. 281-289. ISSN 1026-597X. info
• KOLÁČEK, Jan. Jádrové odhady regresní funkce. Brno: Jan Koláček, 2005, 87 s. disertační práce. info
• KOLÁČEK, Jan. Use of Fourier transformation for kernel smoothing. In Proceedings in Computational Statistics COMPSTAT'04. 1. vyd. Německá republika: Springer, 2004, s. 1329 - 1336. ISBN 3-7908-1554-3. info
• KOLÁČEK, Jan. Some stabilized bandwidth selectors for nonparametric regression. Journal of Electrical Engineering. Bratislava: Slovak University of Technology, 2003, roč. 54, č. 12, s. 65-68. ISSN 1335-3632. info
• KOLÁČEK, Jan. Problems of automatic data-driven bandwidth selectors for nonparametric regression. Journal of Electrical Engineering. 2002, roč. 53, č. 12, s. 48-51. ISSN 1335-3632. info

2018/10/19