(NMST 539) Multivariate analysis
Lectures: Doc. Mgr. Zdeněk Hlávka, PhD.
Lab sessions: Tuesday | 12:20 - 13:50 | Lecture Room @K11
Basic informations
- Each student attending the lab sessions must be enrolled in the Student Information System SIS in order to receive the final credit. Otherwise, the credit can not be given, however, this is not a sufficient condition;
- Each student becomes elligible for obtaining the final credit once he or she successfully evaluates all partial tasks consequntly assigned during the term;
- Additionally, there will be two individual assignments to be ellaborated during the lab session itself. Sufficient ellaboration of both individual assignments is needed to be elligible for the final course credit;
- All necessary information and course credit requirements are summarized in the NMST 539 Outline document.
Preliminary sylabus (to be updated during the term)
- Lab session 1 | 15.02
Multivariate data visualization and graphical tools in R;
(HTML Markdown Download) - Lab session 2 | 22.02
Random vectors and joint/marginal/conditional distributions;
(HTML Markdown Download) - Lab session 3 | 01.03
Multivariate normal distributions: joint/marginal/conditional;
(HTML Markdown Download) - Lab session 4 |08.03
Wishart, Hotelling, and Wilk Lambda distribution;
(HTML Markdown Download) - Lab session 5 | 22.03
Maximum likelihod estimates of multivariate parameters;
(HTML Markdown Download) - Lab session 6 | 29.03
Principal component analysis / Theoretical part;
(HTML Markdown Download) - Lab session 7 | 05.04
Principal component analysis / Applicational part;
(HTML link will be provided in a class) - Lab session 8 | 12.04
Factor analysis;
(HTML Markdown Download) - Lab session 9 | 19.04
Matrix of distances and multivariate scaling;
(HTML Markdown Download) - Lab session 10 | 26.04
Clustering and cluster analysis;
(HTML Markdown Download) - Lab/Lecture session 11 | 02.05
Model-based clustering and mixure models;
(HTML Markdown Download) - Lab session 12 | 03.05
Discriminant analysis and classification;
(HTML Markdown Download) - Lab session 13 | 10.05
Canonical correlations and correspondance analysis
(HTML Markdown Download) - Lab session 14 | 17.05
Individual work (credit requirements)
(HTML link will be provided in a class)
Student's web pages (links)
- Badajkov David
- Bessisso Samir
- Cadiou Bastien
- Canavy Justine
- Cichrová Michaela
- Havránek Jiří
- Helebrand František
- Kostárová Aneta
- Krett Jakub
- Lebeda Matěj
- Macoun Jaromír
- Mečiarová Kristína
- Pain Guillaume
- Pavlech Ján
- Pešek Matěj
- Ranošová Hedvika
- Roubínová Veronika
- Vronková Mária
- Zhang Shuo
Disclaimer (in Czech)
Vrámci platných Pravidiel pro organizaci studia na Matematicko-fyzikální fakultě Univerzity Karlovy (ze dne 21.června, 2019), sa vzhľadom k Čl. 8, dds.2 týchto pravidiel týmto vyhlasuje, že povaha předmětu vylučuje právo studenta na jeden řádny a dva opravné termíny pro získaní zápočtu. Získanie zápočtu sa riadi výhradne pravidlami podrobne uvedenými na tejto webovej stránke (resp. stručna na oficiálnej stránke predmetu v SIS).