Prof. RNDr. Jana Jurečková, DrSc.
senior research fellow
Biography
Publication list
J. Jurečková graduated in probability and mathematical statistics at the Faculty of Mathematics and Physics, Charles University in 1962; she earned her PhD at the Institute of Mathematcs of the Czech Academy of Sciences in 1967 under the supervision of Jaroslav Hájek. She then taught at the Faculty of Mathematics and Physics, Charles University in various positions, latest as professor. In 1984 she defended her DrSc thesis at Charles University. Since 2020 she is emeritus professor at Charles University and since 2017 she is senior research fellow at ÚTIA.
She served as a supervisor to 14 defended PhD theses. She temporarily worked as Visiting Professor at Masaryk University Brno, HU Berlin, UNC Chapel Hill (USA), Université de Neuchatel (Switzerland), Université Bordeaux (France). She was on the editorial board of various journals (Annals of Statistics, JASA, Journal of Nonparametric Statistics, Sankhya, Statistics and Probability Letters). She is an elected member of ISI since 1990. In 2003 she was elected a member of the Learned Society of the Czech Republic. In the years 2013-15 she was a member of the World Council of the Bernoulli Society for Mathematical Statistics and Probability. Since 2004 she is a member of the Committee of the Czech Ministry of Education, Youth and Sports for excellent results in science and innovation. Since 2019 she is Vice-Chairman for the committee granting the title DrSc in economics. She is the author of 4 monographs, of two of which was published a second edition. Her publication list contains over 160 articles in international journals.
Books and chapters
- The Process Induced by Slope Components of α-Regression Quantile, Recent Advances in Econometrics and Statistics, p. 231-240, Eds: Barigozzi Matteo, Hörmann Siegfried, Paindaveine Davy Download Download DOI: 10.1007/978-3-031-61853-6_12 [2024] :
- Likelihood Ratio Testing under Measurement Errors, New Developments in Statistical Information Theory Based on Entropy and Divergence Measures, p. 117-125 Download DOI: 10.3390/e20120966 [2019] :
- Composite tests under corrupted data, New Developments in Statistical Information Theory Based on Entropy and Divergence Measures, p. 80-102 Download DOI: 10.3390/e21010063 [2019] :
Journal articles
- Nonparametric tests for serial independence in linear model against a possible autoregression of error terms, Statistical Papers 66 Download Download DOI: 0.1007/s00362-025-01689-8 [2025] :
- Empirical regression quantile process, Applications of Mathematics 65 3 (2020), p. 257-269 Download Download DOI: 10.21136/AM.2020.0295-19 [2020] :
- Composite tests under corrupted data, Entropy 21 1 (2019), p. 1-23 Download Download DOI: 10.3390/e21010063 [2019] :
- Likelihood ratio testing under measurement errors, Entropy 20 Download DOI: 10.3390/e20120966 [2018] :
Other publications
- Estimation of Conditional Value-at-Risk in Linear Model, Combining, Modelling and Analyzing Imprecision, Randomness and Dependence, p. 200-207 Download Download DOI: 10.1007/978-3-031-65993-5_24 [2024] :
- Estimation of Expected Shortfall in Linear Model, ICORS 2023 = Book of abstracts, p. 29-30 Download [2023] :
- ICORS 2023 = Book of abstracts, Toulouse School of Economics (Toulouse, 2023) Download Download [2023] :
- Robust likelihood ratio test under measurement errors 1.0 (2020) Download [2020] :
- Special issue of the Conference Analytical Methods in Statistics (AMISTAT 2019), Applications of Mathematics 65 3 (2020), p. 227-342 DOI: 10.21136/AM.2020.0106-20 [2020] :