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Principles of statistical thought in obtaining conclusions under uncertainty will be exposed on selected real examples of decision, learning, and prediction problems.
Last update: Omelka Marek, doc. Ing., Ph.D. (28.04.2025)
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The objective of the course is to introduce statistical approaches to the historical and recent problems where uncertainty plays a crucial role, with an emphasis on general principles. Last update: Omelka Marek, doc. Ing., Ph.D. (28.04.2025)
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Active participation in classes (max. 3 absences) and three short homework assignments. The nature of these requirements precludes any possibility of additional attempts to obtain the class credit. Last update: Omelka Marek, doc. Ing., Ph.D. (28.04.2025)
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Anděl, J.: Statistické úlohy, historky a paradoxy Matfyzpress, Praha 2018. Last update: Omelka Marek, doc. Ing., Ph.D. (28.04.2025)
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Seminar. Last update: Omelka Marek, doc. Ing., Ph.D. (28.04.2025)
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1. Basic concepts of probability and statistics: random variable and its distribution, Bayes theorem, correlation 2. Linear regression, contingency tables 3. Data visualization 4. Paradoxes and classical statistical problems: e.g. Von Neumann’s unfair coin, voting paradoxes, German tank problem 5. Practical examples of application and correct interpretation of statistical models from disciplines including medicine, industrial production, sport, criminology, education, etc. Last update: Omelka Marek, doc. Ing., Ph.D. (28.04.2025)
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