Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Příčiny účinků a účinky příčin
Thesis title in Czech: Příčiny účinků a účinky příčin
Thesis title in English: Causes of Effects and Effects of Causes
Key words: Kauzalita, asociace, intervence, randomizace, strukturální modely
English key words: Causality, association, intervention, randomization, structural equation models
Academic year of topic announcement: 2015/2016
Thesis type: Bachelor's thesis
Thesis language: čeština
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: doc. RNDr. Matúš Maciak, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 13.10.2015
Date of assignment: 13.10.2015
Confirmed by Study dept. on: 24.11.2015
Date and time of defence: 08.09.2017 00:00
Date of electronic submission:19.07.2017
Date of submission of printed version:21.07.2017
Date of proceeded defence: 08.09.2017
Opponents: prof. RNDr. Jaromír Antoch, CSc.
 
 
 
Guidelines
The aim of this thesis is to get familiar with a structure of causality and some causal inference methods used in statistics. A difference between the causes of effects and effects of causes should be illustrated using some real data situations. Some important statistical results can be discussed.
References
[1] Kalisch, M. and Bühlmann, P. (2013). Causal structure learning and inference: a selective review. Quality Technology & Quantitative Management 11, 3-21.

[2] Pearl, J. (2000). Causality, Cambridge University Press, New York. 7

[3] Dawid, A.P., Faigman, D.L., and Fienberg, S.E. (2013). Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects. Sociological Methods & Research 2014 43: 359-390.
 
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