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Dettaglio Insegnamento
Academic Year |
2021/2022 |
Name |
Dott. - MI (1385) Modelli e Metodi Matematici per l'Ingegneria / Mathematical Models and Methods in Engineering |
Programme Year |
1 |
ID Code |
057333 |
Course Title |
ADVANCED STATISTICAL LEARNING FOR COMPLEX DATA |
Course Type |
MONODISCIPLINARE |
Credits (CFU / ECTS) |
5.0 |
Course Description |
The course proposes lessons about the following topics:
- Intro & project presentation (2h)
- How to face and manage complexity in the data deluge era (3h)
- Depth Measures. (3h)
- Hierarchical and Mixed Effects Models. (3h)
- Spatial Statistics (3h)
- Functional Data Analysis (+ focus on Compositional Data) (5h)
- Survival and Multistate Models. (3h)
- Network Analysis and Neural Networks (3h)
For each topic, practical sessions presenting case studies and applied analyses carried out with R will be proposed. |
Scientific-Disciplinary Sector (SSD)
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Alphabetical group
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Professor
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Course details
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From (included)
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To (excluded)
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A
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ZZZZ
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Ieva Francesca, Menafoglio Alessandra
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