Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- phdai:sml [08/04/2025 alle 19:30 (2 mesi fa)] – Salvatore Ruggieri
+++ phdai:sml [08/05/2025 alle 14:09 (5 settimane fa)] (versione attuale) – [Exams] Salvatore Ruggieri
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 The course is an extract of the M.Sc. level course [[mds:sds:start|Statistics for Data Science]].
 =====Instructors=====
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   * **[P]** J. Ward, J. Abdey. **Mathematics and Statistics**. University of London, 2013. __Chapters 1-8 of Part 1__.
-You can refresh such notions through this [[http://131.114.72.230/sds/video/sds06_20220225.mp4|recording]] and {{:mds:sds:s4ds06.pdf|slides}}.
+You can refresh such notions through these [[http://131.114.72.230/sds/video/sds06_20220225.mp4|recording]] and {{:mds:sds:s4ds06.pdf|slides}}.
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   * Submit them to instructors who have to accept the proposed papers as relevant
   * If papers are approved, students have to write a short report (8 pages minimum - 12 pages maximum) reviewing the proposed papers and send it to the instructors
-  * A brief oral discussion will follow (dates to be decided individually with instructors)
+  * A brief oral discussion will follow (dates to be decided individually with instructors). Slides might be prepared for the discussion.
 The deadline to present the report and discuss the report is December 18th 2025.
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-Ph.D. students will receive an attendance statement if they attend at least 7 out of the 10+1 classes.
+Ph.D. students will receive an attendance statement if they attend at least 7 out of the 10+1 classes. Ask the instructors for the attendance statement.
 =====Class calendar=====
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 |04| 27/03 14-16| Sem. Est| Functions of random variables. Distances between distributions. Simulation. Speaker: A. Pugnana| {{ :phdai:s4ml:s4ml_04.pdf |}}|
 |05| 31/03 11-13| Sem. Est| Law of large numbers. The central limit theorem. Graphical summaries. Kernel Density Estimation. Numerical summaries. Speaker: A. Pugnana| {{ :phdai:s4ml:s4ml_05.pdf |}} |
-|06| 10/04 16-18 | Sem. Est | Unbiased estimators. Efficiency and MSE. Maximum likelihood estimation. Speaker: S. Ruggieri. | {{ :phdai:s4ml:s4ml_06.pdf |}} |
+|06| 10/04 16-18 | Sem. Est | Unbiased estimators. Efficiency and MSE. Maximum likelihood estimation. Speaker: S. Ruggieri. | {{ :phdai:s4ml_06.pdf |}} |
-|07| 14/04 11-13 | Sem. Est | Statistical decision theory. Speaker: S. Ruggieri. | ... |
+|07| 14/04 11-13 | Sem. Est | Statistical decision theory. Speaker: S. Ruggieri. | {{ :phdai:s4ml_07.pdf |}} |
-|08| 28/04 11-13 | Sem. Ovest | Confidence intervals and Hypotheses testing. Fitting distributions. Testing  independence/association. Speaker: S. Ruggieri. | ... |
+|08| 28/04 11-13 | Sem. Ovest | Confidence intervals and Hypotheses testing. Speaker: S. Ruggieri. | {{ :phdai:s4ml08.pdf |}} |
-|09| 05/05 11-13 | Sem. Est | Bootstrap and resampling methods. Speaker: S. Ruggieri. | ... |
+|09| 05/05 11-13 | Sem. Est | Bootstrap and resampling methods. Speaker: S. Ruggieri. | {{ :phdai:s4ml09.pdf |}} |
-|10| 08/05 16-18 | Sem. Ovest | Multiple-sample tests of the mean and applications to classifier comparison. Speaker: S. Ruggieri. | ... |
+|10| 08/05 16-18 | Sem. Ovest | Fitting distributions. Multiple-sample tests of the mean and applications to classifier comparison. Testing  independence/association. Speaker: S. Ruggieri. | {{ :phdai:s4ml10.pdf |}} |
 |Extra| 12/05 14-16 | Fib-C | //Seminar:// Introduction to causal modeling and reasoning. Speakers: I. Beretta and M. Cinquini.  | ... |