Publication Records

KOLÁČEK, Jan, David VALIŠ, Mária FUKSOVÁ, Jiří HLINKA and 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, vol. 377, January, p. 124496-124510. ISSN 0306-2619. Available from: https://dx.doi.org/10.1016/j.apenergy.2024.124496.

PŘIBYL, Jan, Radka OBOŘILOVÁ, Jakub HRUŠKA, Lucie VÁLKOVÁ, Jan KOLÁČEK, Ondřej POKORA, Jan SLOVÁK and Monika PÁVKOVÁ GOLDBERGOVÁ. Destructive nanoindentation techniques to study biological membranes. Online. In Proceedings 15th International Conference on Nanomaterials - Research & Application. Ostrava: TANGER Ltd., 2024, p. 347-352. ISBN 978-80-88365-15-0. Available from: https://dx.doi.org/10.37904/nanocon.2023.4764.

VALIŠ, David, Jiří HLINKA, Jan KOLÁČEK, Petr PROCHÁZKA, Ondřej POKORA, Radoslav CIPÍN and 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, vol. 154, December 2023, p. 1-27. ISSN 1350-6307. Available from: https://dx.doi.org/10.1016/j.engfailanal.2023.107661.

KOLÁČEK, Jan. Modelling of Lithium-ion Batteries’ Reliability in Electric-Powered Aircraft. 2023.

KOLÁČEK, Jan. Analýza nepravidelně pozorovaných funkcionálních dat. In ROBUST 2022. 2022.

KROUPOVÁ, Monika, Ivanka HOROVÁ and Jan KOLÁČEK. Kernel estimation of regression function gradient. Communications in Statistics - Theory and Methods. Philadelphia: TAYLOR & FRANCIS INC, 2020, vol. 49, No 1, p. 135-151. ISSN 0361-0926. Available from: https://dx.doi.org/10.1080/03610926.2018.1532518.

KOLÁČEK, Jan, Ondřej POKORA, Daniela KURUCZOVÁ and Tzai-Wen CHIU. Benefits of functional PCA in the analysis of single-trial auditory evoked potentials. Computational Statistics. Germany: Springer, 2019, vol. 34, No 2, p. 617-629. ISSN 0943-4062. Available from: https://dx.doi.org/10.1007/s00180-018-0819-6.

HOLTANOVÁ, Eva, Thomas MENDLIK, Jan KOLÁČEK, Ivanka HOROVÁ and Jiří MIKŠOVSKÝ. Similarities within a multi-model ensemble: functional data analysis framework. Geoscientific Model Development. Göttingen: Copernicus Publications, 2019, vol. 12, No 2, p. 735-747. ISSN 1991-959X. Available from: https://dx.doi.org/10.5194/gmd-12-735-2019.

VALIŠ, David, Ondřej POKORA and Jan KOLÁČEK. System failure estimation based on field data and semi-parametric modeling. Engineering Failure Analysis. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2019, vol. 101, JUL 2019, p. 473-484. ISSN 1350-6307. Available from: https://dx.doi.org/10.1016/j.engfailanal.2019.04.014.

SVOBODOVÁ, Jana and Jan KOLÁČEK. Bayesian Geographical Profiling in Terrorism Revealing. STATISTIKA-STATISTICS AND ECONOMY JOURNAL. Czech Statistical Office, 2018, vol. 98, No 3, p. 295-305. ISSN 0322-788X.

KROUPOVÁ, Monika, Ivanka HOROVÁ and Jan KOLÁČEK. Jádrové odhady gradientu regresní funkce (Kernel estimation of regression function gradient). In Robust 2018, 20. zimní škola JČMF. 2018.

KROUPOVÁ, Monika, Ivanka HOROVÁ and Jan KOLÁČEK. Jádrové odhady gradientu regresní funkce (Kernel estimation of regression function gradient). In Robust 2018, 20. zimní škola JČMF. 2018.

KROUPOVÁ, Monika, Ivanka HOROVÁ and Jan KOLÁČEK. Jádrový odhad regresní funkce a jejího gradientu. In Workshop Analýzy reálných dat - katalyzátor pro Váš růst a lepší výsledky, Centrum pro transfer technologií. 2018.

KOLÁČEK, Jan and Ivanka HOROVÁ. Bandwidth matrix selectors for kernel regression. Computational Statistics. HEIDELBERG, GERMANY: SPRINGER HEIDELBERG, 2017, vol. 32, No 3, p. 1027-1046. ISSN 0943-4062. Available from: https://dx.doi.org/10.1007/s00180-017-0709-3.

KURUCZOVÁ, Daniela and Jan KOLÁČEK. Bandwidth Selection Problem in Nonparametric Functional Regression. Statistika: Statistics and Economy Journal. Prague: Czech Statistical Office, 2017, vol. 97, No 3, p. 107-115. ISSN 0322-788X.

POKORA, Ondřej, Jan KOLÁČEK, Tzai-Wen CHIU and Wei QIU. Functional data analysis of single-trial auditory evoked potentials recorded in the awake rat. BioSystems. Oxford: ELSEVIER SCI LTD, 2017, vol. 161, November, p. 67-75. ISSN 0303-2647. Available from: https://dx.doi.org/10.1016/j.biosystems.2017.09.002.

KURUCZOVÁ, Daniela and Jan KOLÁČEK. Local bandwidth selectors for functional kernel regression. 2017.

KURUCZOVÁ, Daniela and Jan KOLÁČEK. Neparametrická funkcionálna regresia. In ROBUST 2016, 19. Letní škola JČMF. 2016.

KOLÁČEK, Jan and Ivanka HOROVÁ. Selection of bandwidth for kernel regression. Communications in Statistics - Theory and Methods. Marcel Dekker, 2016, vol. 45, No 5, p. 1487-1500. ISSN 0361-0926. Available from: https://dx.doi.org/10.1080/03610926.2013.864770.

HOROVÁ, Ivanka and Jan KOLÁČEK. Analysis of Photovoltaic Energy Using Kernel Smoothing. In The 25th Annual TIES Conference. 2015.

KOLÁČEK, Jan and Ivanka HOROVÁ. Contribution to bandwidth matrix choice for bivariate kernel regression. In Analytical Methods in Statistics, AMISTAT 2015. 2015.

KOLÁČEK, Jan and Ivanka HOROVÁ. Iterative bandwidth method for bivariate kernel regression and its gradient. In European Meeting of Statisticians. 2015.

KOLÁČEK, Jan. Statistické modelování (Statistical modeling). Online. In HOLČÍK Jiří, KOMENDA Martin. Matematická biologie: e-learningová učebnice [online]. 1st ed. Brno: Masarykova univerzita, 2015, p. nestránkováno, 165 pp. ISBN 978-80-210-8095-9.

KOLÁČEK, Jan. Theory and Practice of Kernel Smoothing - habilitation thesis. Brno: Neuveden, 2015, 176 pp.

KOLÁČEK, Jan. Volba vyhlazovacích parametrů při jádrové regresi (Bandwidth selection in kernel regression). In Seminář z aplikované matematiky UPOL, Olomouc. 2015.

KONEČNÁ, Kateřina and Jan KOLÁČEK. Výpočetní matematické systémy (Mathematical Software). Online. In HOLČÍK Jiří, KOMENDA Martin. Matematická biologie: e-learningová učebnice. 1st ed. Brno: Masarykova univerzita, 2015, 187 pp. ISBN 978-80-210-8095-9.

HASILOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK. Bandwidth matrix selectors for multivariate kernel density estimation. In C H Skiadas. Theoretical and Applied Issues in Statistics and Demography. Athens: International Society for the Advancement of Science and Technology (ISAST), 2014, p. 33-46. ISBN 978-618-81257-7-3.

KOLÁČEK, Jan and Ivanka HOROVÁ. Bandwidth matrix selectors for multivariate kernel regression. In SMTDA Book of abstracts 2014. 2014.

KOLÁČEK, Jan and Ivanka HOROVÁ. Bandwidth matrix selectors for multivariate kernel regression. In 3rd Stochastic Modeling Techniques and Data Analysis International Conference. 2014.

KONEČNÁ, Kateřina, Ivanka HOROVÁ and 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, p. 15-31. ISBN 978-618-81257-7-3.

LAJDOVÁ, Dagmar, Jan KOLÁČEK and 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, p. 3-14. ISBN 978-618-81257-7-3.

HASILOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK. Bandwidth matrix selectors for multivariate kernel density estimation. In Applied Stochastic Models and Data Analysis (ASMDA2013). 2013.

HASILOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK. Bandwidth matrix selectors for multivariate kernel density estimation. In Applied Stochastic Models and Data Analysis (ASMDA2013). 2013.

HOROVÁ, Ivanka, Jan KOLÁČEK and Kamila VOPATOVÁ. Full bandwidth matrix selectors for gradient kernel density estimate. Computational Statistics & Data Analysis. ELSEVIER, 2013, vol. 57, No 1, p. 364-376. ISSN 0167-9473. Available from: https://dx.doi.org/10.1016/j.csda.2012.07.006.

HOROVÁ, Ivanka, Jan KOLÁČEK and Dagmar LAJDOVÁ. Kernel Regression Model for Total Ozone Data. Journal of Environmental Statistics. 2013, roč. 4, No 2, p. 1-12. ISSN 1945-1296.

LAJDOVÁ, Dagmar, Jan KOLÁČEK and Ivanka HOROVÁ. Kernel Regression Model with Correlated Errors. In Applied Stochastic Models and Data Analysis (ASMDA2013). 2013.

TRHLÍK, M., Renata SOUMAROVÁ, P. BARTOŠ, M. TĚŽKÁ, Jan KOLÁČEK, Kamila VOPATOVÁ, Ivanka HOROVÁ and P. ŠUPÍKOVÁ. Neoadjuvant chemotherapy for primary advanced ovarian cancer. In The International Journal of Gynecological Cancer – October 2012, vol 22, issue 8, supplement 3, E517. 2013. ISSN 1048-891X.

TRHLÍK, Martin, Renata SOUMAROVÁ, Pavel BARTOŠ, Jan KOLÁČEK, Ivanka HOROVÁ and Markéta TĚŽKÁ. Neoadjuvant chemotherapy for primary advanced ovarian cancer. Biomedical Papers. Univerzita Palackého v Olomouci, 2013, vol. 157, No 2, p. "S98", 1 pp. ISSN 1213-8118.

KONEČNÁ, Kateřina, Ivanka HOROVÁ and Jan KOLÁČEK. Nonparametric Conditional Density Estimation. In ISCAMI 2013. 2013.

FORBELSKÁ, Marie and Jan KOLÁČEK. Pravděpodobnost a statistika I. 1. vyd. Brno: Masarykova univerzita, 2013. Elportál. ISBN 978-80-210-6710-3.

FORBELSKÁ, Marie and Jan KOLÁČEK. Pravděpodobnost a statistika II. 1. vyd. Brno: Masarykova univerzita, 2013. Elportál. ISBN 978-80-210-6711-0.

HOROVÁ, Ivanka, Jan KOLÁČEK and Kamila VOPATOVÁ. Bandwidth matrix selectors for multivariate kernel density estimation. In RSS 2012 International Conference Telford, 3-6 September 2012. 2012.

KOLÁČEK, Jan and Ivanka HOROVÁ. Iterative bandwidth method for kernel regression. Journal of Statistics: Advances in Theory and Applications. Scientific Advances Publishers, 2012, vol. 8, No 2, p. 91-103. ISSN 0975-1262.

KOLÁČEK, Jan and Ivanka HOROVÁ. Iterative bandwidth selector - extension to kernel regression. In RSS 2012 International Conference: 3-6 September, Telford UK. 2012.

HOROVÁ, Ivanka and Jan KOLÁČEK. Jádrová regrese pro model s korelovanými pozorováními (Kernel regression with correlated data). In LAJDOVÁ, Dagmar. Novohradské statistické dny, 3.6.-6.6.2012. 2012.

HOROVÁ, Ivanka, Jan KOLÁČEK and Dagmar LAJDOVÁ. Kernel regression model for total ozone data. In LAJDOVÁ, Dagmar. TIES 2012 Conference, 3rd-6th January 2012,Hyderabad, Indie. 2012.

HOROVÁ, Ivanka, Jan KOLÁČEK and Jiří ZELINKA. Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing. Singapore: World Scientific Publishing Co. Pte. Ltd., 2012, 244 pp. ISBN 978-981-4405-48-5.

ŘEZÁČ, Martin and Jan KOLÁČEK. Lift-Based Quality Indexes for Credit Scoring Models as an Alternative to Gini and KS. Journal of Statistics: Advances in Theory and Applications. 2012, vol. 7, No 1, p. 1-23. ISSN 0975-1262.

HOROVÁ, Ivanka, Jan KOLÁČEK and Kamila VOPATOVÁ. Visualization and Bandwidth Matrix Choice. Communications in Statistics - Theory and Methods. Philadelphia: Taylor & Francis, 2012, vol. 41, No 4, p. 759-777. ISSN 0361-0926. Available from: https://dx.doi.org/10.1080/03610926.2010.529539.

KOLÁČEK, Jan and Martin ŘEZÁČ. A Conservative Approach to Assessment of Discriminatory Models. In Jiří Zelinka, Ivana Horová. Workshop of the Jaroslav Hájek Center and Financial Mathematics in Practice I, Book of short papers. 1st ed. Brno: Masaryk University, 2011, p. 30-36. ISBN 978-80-210-5778-4.

KOLÁČEK, Jan and 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, vol. 6, No 2, p. 73-85. ISSN 1930-6792.

ŘEZÁČ, Martin and Jan KOLÁČEK. Adjusted Empirical Estimate of Information Value for Credit Scoring Models. Online. In PROCEEDINGS ASMDA 2011. Rome: Edizioni ETS, 2011, p. 1162-1169. ISBN 978-88-467-3045-9.

ŘEZÁČ, Martin and Jan KOLÁČEK. Computation of Information Value for Credit Scoring Models. In Jiří Zelinka, Ivana Horová. Workshop of the Jaroslav Hájek Center and Financial Mathematics in Practice I, Book of short papers. 1st ed. Brno: Masaryk University, 2011, p. 75-84. ISBN 978-80-210-5778-4.

HOROVÁ, Ivanka, Jan KOLÁČEK, Kamila VOPATOVÁ and Jiří ZELINKA. Contribution to bandwidth matrix choice for multivariate kernel density estimate. In ISI 2011, Proceedings of the 58th World Statistics Congress. ISI 2011, 2011, 6 pp.

KOLÁČEK, Jan and Martin ŘEZÁČ. Credit Scoring Models and their Quality. In APPLIED STATISTICS 2011 PROGRAM and ABSTRACTS. 2011. ISBN 978-961-92487-7-5.

KOLÁČEK, Jan and Martin ŘEZÁČ. Credit Scoring Models and their Quality. In Applied Statistics 2011 International Conference. 2011.

KOLÁČEK, Jan. Inovace výuky statistiky na Přírodovědecké fakultě MU (Innovation of teaching statistics on Faculty of Science MU). In Hájková, E., Vémolová, R. XXIX International Colloquium on the Management of Educational Process : proceedings of abstracts and electronic versions of reviewed contributions on CD-ROM [CD-ROM]. Brno: Univerzita Obrany, 2011, p. 38-41. ISBN 978-80-7231-779-0.

KOLÁČEK, Jan and Kateřina KONEČNÁ. Interaktivní dávky v jazyce R (Interactive scripts in R language). 2011.

KONEČNÁ, Kateřina and Jan KOLÁČEK. Jak pracovat s jazykem R (How to work with R language). 2011, 84 pp.

KOLÁČEK, Jan. Kernel Bivariate Density Toolbox. 2011.

KOLÁČEK, Jan and Martin ŘEZÁČ. Quality Measures for Predictive Scoring Models. In Raimondo Manca, Christos H. Skiadas. PROCEEDINGS ASMDA 2011. Rome, Italy: Edizioni ETS, 2011, p. 720-727. ISBN 978-88-467-3045-9.

KOLÁČEK, Jan and Martin ŘEZÁČ. Quality Measures for Predictive Scoring Models. In ASMDA 2011 14th Applied Stochastic Models and Data Analysis Conference. 2011.

KOLÁČEK, Jan and Martin ŘEZÁČ. Assessment of scoring models using information value. In 19th International Conference on Computational Statistics (COMPSTAT 2010). 2010.

KOLÁČEK, Jan and Martin ŘEZÁČ. Assessment of Scoring Models Using Information Value. In 19th International Conference on Computational Statistics, Paris France, August 22-27, 2010 Keynote, Invited and Contributed Papers. 1st ed. Paris: SpringerLink, 2010, p. 1191-1198. ISBN 978-3-7908-2603-6.

VOPATOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK. Bandwidth Matrix Choice for Bivariate Kernel Density Derivative. In Proceedings of the 25th International Workshop on Statistical Modelling. Glasgow (UK), 2010, p. 561-564.

KOLÁČEK, Jan. Kernel Quality Indexes Toolbox for Matlab. 2010.

ŘEZÁČ, Martin and Jan KOLÁČEK. On Aspects of Quality Indexes for Scoring Models. In 19th International Conference on Computational Statistics, Paris France, August 22-27, 2010 Keynote, Invited and Contributed Papers. 1st ed. Paris: SpringerLink, 2010, p. 1517-1524. ISBN 978-3-7908-2603-6.

KOLÁČEK, Jan and Martin ŘEZÁČ. Predictive Power Measures for Scoring Models. In Výjezdní zasedání CJH Liberec. 2010.

VOPATOVÁ, Kamila, Ivanka HOROVÁ and Jan KOLÁČEK. TRAM: Bandwidth Choice for Kernel Density Derivative. In 25th International Workshop on Statistical Modelling. 2010.

HOROVÁ, Ivanka, Jan KOLÁČEK and Kamila VOPATOVÁ. Bandwidth matrix choice for bivariate kernel density estimates. In Book of short papers. Masarykova univerzita. Brno, 2009, p. 22-25. ISBN 978-80-210-5100-3.

KOLÁČEK, Jan. Kernel Regression Toolbox for Matlab. 2009.

KOLÁČEK, Jan. Neparametrické odhady ROC křivky (Nonparametric estimates of ROC curve). In Firma a konkurenční prostředí 2009. Brno: MZLU v Brně, 2009, p. 240-247. ISBN 978-80-7392-084-5.

KOLÁČEK, Jan and Rohana J. KARUNAMUNI. On boundary correction in kernel estimation of ROC curves. Austrian Journal of Statistics. 2009, vol. 38, No 1, p. 17-32. ISSN 1026-597X.

KOLÁČEK, Jan. ROC curves as an aspect of classification. In QPRC 2009 New York. 2009.

KOLÁČEK, Jan. An Improved Estimator for Removing Boundary Bias in Kernel CDF Estimation. In 18th International Conference on Computational Statistics (COMPSTAT 2008). 2008.

HOROVÁ, Ivanka, Jan KOLÁČEK, Jiří ZELINKA and Kamila VOPATOVÁ. Bandwidth Choice for Kernel Density Estimates. In Proceedings IASC,. Yokohama: IASC, 2008, p. 542-551. ISBN 978-4-9904445-1-8.

KOLÁČEK, Jan. Boundary effects in kernel CDF estimation. In Výjezdni zasedani CJH, sbornik rozšiřenych abstraktů. 2008. ISBN 978-80-210-4800-3.

KOLÁČEK, Jan. Plug-in method for nonparametric regression. Computational Statistics. Germany: Physica-Verlag, 2008, vol. 2008, No 1, p. 63-78. ISSN 0943-4062.

HOROVÁ, Ivanka, Jan KOLÁČEK, Jiří ZELINKA and Abdel H. EL-SHAARAWI. Smooth Estimates of Distribution Functions with Application in Environmental Studies. In Advanced topics on mathematical biology and ecology. 1st ed. Mexico: WSEAS Press, 2008, p. 122-127. ISBN 978-960-6766-32-9.

KOLÁČEK, Jan. Boundary effects for densities and distribution functions. In Summer School DATASTAT 06. Brno: Masaryk University, 2007, p. 141-148. ISBN 978-80-210-4493-7.

KOLÁČEK, Jan. On boundary correction in kernel estimation of ROC curves. In ASMDA 2007 Book of Abstracts. 2007.

KOLÁČEK, Jan. On boundary correction in kernel estimation of ROC curves. In Applied Stochastic Models and Data Analysis (ASMDA2007). 2007.

HOROVÁ, Ivanka, Jan KOLÁČEK, Jiří ZELINKA and Abdel H. EL-SHAARAWI. Smooth Estimates of Distribution Functions with Application in Environmental Studies. In TIES 2007 Book of Abstracts. 2007. ISBN 978-80-210-4333-6.

HOROVÁ, Ivanka, Jan KOLÁČEK, Jiří ZELINKA and Abdel EL-SHAARAWI. Smooth Estimates of Distribution Functions with Application in Environmental Studies. In TIES 2007. 2007.

HOROVÁ, Ivanka, Marie FORBELSKÁ, Luboš BAUER, Marie BUDÍKOVÁ, Jan KOLÁČEK, Karel LEPKA, Ivo MOLL, Danka NÉMETHOVÁ, Radka PALIÁNOVÁ, Ondřej POKORA, Zdeněk POSPÍŠIL, Jaroslav RÁČEK, Martin TAJOVSKÝ, Gejza WIMMER and Jiří ZELINKA. TIES2007, 18th annual meeting of the International Environmetrics Society. 2007.

KOLÁČEK, Jan and Jitka POMĚNKOVÁ. A Comparative Study of Boundary Effects for Kernel Smoothing. Austrian Journal of Statistics. Austria, 2006, 35/2006, No 2, p. 281-289. ISSN 1026-597X.

KOLÁČEK, Jan. Boundary effects in kernel estimation of ROC curves. In Compstat 2006 Book of abstracts. 2006.

KOLÁČEK, Jan. Boundary effects in kernel estimation of ROC curves. In 17th International Conference on Computational Statistics (COMPSTAT 2006). 2006.

KOLÁČEK, Jan. Volba optimální šířky okna při jádrových odhadech regresní funkce (Choosing of optimal bandwidth for nonparametric regression). In Sborník ROBUST'06. Praha: MFF UK, 2006, p. 135-142. ISBN 80-7015-073-4.

KOLÁČEK, Jan. Bandwidth selection for nonparametric regression - plug-in method. In Programme and Abstracts, IASC 3rd World Conference on CSDA. 2005.

KOLÁČEK, Jan. Jádrové odhady regresní funkce (Kernel Estimation of the Regression Function). Brno: Jan Koláček, 2005, 87 pp. disertační práce.

KOLÁČEK, Jan. Plug-in method for nonparametric regression. In 3rd IASC world conference on Computational Statistics and Data Analysis. 2005.

FAJMON, Břetislav and Jan KOLÁČEK. Pravděpodobnost, statistika a operační výzkum. Brno: VUT Brno, 2005, 314 pp.

KOLÁČEK, Jan. Use of Fourier Transformation for Bandwidth Selection. In Datastat 03, Folia Fac. Sci. Nat. Univ. Masaryk. Brunensis, Mathematica 15. Brno: Masaryk niversity, 2004, p. 159-168. ISBN 80-210-3564-1.

KOLÁČEK, Jan. Use of Fourier transformation for kernel smoothing. In Proceedings in Computational Statistics COMPSTAT'04. 1st ed. Německá republika: Springer, 2004, p. 1329 - 1336. ISBN 3-7908-1554-3.

KOLÁČEK, Jan. Use of Fourier transformation for kernel smoothing. In 16th International Conference on Computational Statistics (COMPSTAT 2004). 2004.

KOLÁČEK, Jan. Some stabilized bandwidth selectors for non-parametric regression. In ISCAM 2003. 2003.

KOLÁČEK, Jan. Some stabilized bandwidth selectors for nonparametric regression. Journal of Electrical Engineering. Bratislava: Slovak University of Technology, 2003, vol. 54, No 12, p. 65-68. ISSN 1335-3632.

KOLÁČEK, Jan. Kernel Estimation of the Regression Function - Bandwidth Selection. In Datastat 01, Folia Fac. Sci. Nat. Univ. Masaryk. Brunensis, Mathematica 11. Brno: Masaryk University, 2002, p. 129-138. ISBN 80-210-3028-3.

KOLÁČEK, Jan. Problems of automatic data-driven bandwidth selectors for nonparametric regression. Journal of Electrical Engineering. 2002, vol. 53, No 12, p. 48-51. ISSN 1335-3632.

KOLÁČEK, Jan. Problems of automatic data-driven bandwidth selectors for nonparametric regression. In ISCAM 2002. 2002.