| Course title | Selected Topics in Mathematical Statistics and Probability Theory |
|---|---|
| Course code | KMA/PGSSP |
| Organizational form of instruction | Lecture |
| Level of course | Doctoral |
| Year of study | not specified |
| Semester | Winter and summer |
| Number of ECTS credits | 15 |
| Language of instruction | Czech, English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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1. Probability measures 2. General measures, outer measure, measure functions 3. Integral and its properties, integral with respect to Lebesgue measure 4. Product measure and Fubini's Theorem 5. Basic relations between probability theory and measure theory 6. Random variables and distributions 7. Random vectors 8. Densities 9. Normal distribution 10. Regression 11. Correlation 12. Limit theorems
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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