- Secondary and university students' understanding of independence and conditional probability2023 | Faculty of Education
- Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task2020 | Faculty of Mathematics and Physics
- Implicit definition of conditional probability; Existence and some special cases2001 | Faculty of Mathematics and Physics
- From one family with three kids to reliability of the test2017 | Faculty of Mathematics and Physics
- Forecasting dynamic return distributions based on ordered binary choice2019 | Publication without faculty affiliation
- SOURCE APPORTIONMENT OF FINE (PM0.15 – 1.15) AND COARSE (PM1.15 – 10) AEROSOL FRACTION IN OSTRAVA RADVANICE-BARTOVICE IN WINTER 20122013 | Faculty of Science
- Cross-entropy based combination of discrete probability distributions for distributed decision makingPublication without faculty affiliation
- Source apportionment of fine (PM0.15-1.15) and coarse PM1.15-10) aerosol fraction in urban environment in winter season2013 | Faculty of Science
- Source apportionment of fine (PM0.15-1.15) and coarse PM1.15-10) aerosol fraction in urban environment in winter seasonPublication without faculty affiliation
- PM10 source reconnaissancePublication without faculty affiliation
- An Approach for Textual Based Clustering Using Word EmbeddingPublication without faculty affiliation
- Source apportionment of size resolved particulate matter in European air pollution hot spot2013 | Faculty of Science
- Copula-based multivariate association measures and tail coefficientsPublication without faculty affiliation
- Atmospheric aerosol growth rates at different background station types2021 | Faculty of Science
- Particulate matter source apportionment in a village situated in industrial region of Central Europe2013 | Faculty of Science
- Czech version of the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen - a pilot study2018 | First Faculty of Medicine
- Bayesian networks as a tool of achieving more robust results of cost-proportionality analysis within the WFD2017 | Publication without faculty affiliation