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--- mds:smd:2018 [14/02/2019 alle 14:22 (7 anni fa)] – creata Salvatore Ruggieri
+++ mds:smd:2018 [04/12/2021 alle 17:57 (4 anni fa)] (versione attuale) – eliminata Salvatore Ruggieri
@@ Linea 1: / Linea 1: @@
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-====== Statistical Methods for Data Science A.Y. 2017/18 ======
-=====Instructors=====
-  * **Daniele Tantari**
-    * Scuola Normale Superiore
-    * [[https://www.sns.it/ugov/persone/daniele-tantari]]
-    * [[daniele.tantari@sns.it]]
-  * **Salvatore Ruggieri**
-    * Università di Pisa
-    * [[http://pages.di.unipi.it/ruggieri/]]
-    * [[ruggieri@di.unipi.it]]
-=====Classes=====
-^  Day of Week  ^  Hour  ^  Room  ^
-|  Monday |  16:00 - 18:00  |  Fib-L1  |
-|  Tuesday |  9:00 - 11:00  |  Fib-N1  |
-=====Office hours=====
-  * Prof. Tantari: Tuesday h 11:00 - 15:00, Scuola Normale Superiore, room 93 (please send an email in advance)
-  * Prof. Ruggieri: Tuesday h 14:00 - 17:00, Department of Computer Science, room 321/DO.
-=====Text Books=====
-The following are mandatory text books:
-  * **[B1]** F.M. Dekking C. Kraaikamp, H.P. Lopuha, L.E. Meester. **A Modern Introduction to Probability and Statistics**. Springer, 2005.
-  * **[B2]** P. Dalgaard. **Introductory Statistics with R**. 2nd edition, Springer, 2008.
-The following is an optional text book for recalling mathematics pre-requisites of the course:
-  * **[B3]** J. Ward, J. Abdey. **Mathematics and Statistics**. University of London, 2013. Chapters 4-8 of Part 1 present basic calculus (derivatives and integrals).
-=====Software=====
-  * [[https://cran.r-project.org/|R]]
-  * [[https://www.rstudio.com/|R Studio]]
-=====Preliminary program and calendar=====
-  * [[https://esami.unipi.it/esami2/programma.php?c=34467&aa=2017|Preliminary program]].
-  * [[https://www.di.unipi.it/en/education/mds/academic-calendar-2017-2018-wea|Calendar of lessons]].
-=====Project=====
-  * Project can be done in groups of at most 3 students.
-  * Project final delivery dates: 11 June h 9, 2 July h 9, 23 July h 9
-  * Oral dates: 12 June, 3 July, 24 July
-  * Students doing the project will skip the written exam but **they have to [[https://esami.unipi.it/esami2/|register for the written dates]] in order to fill the student's questionnaire**.
-  * [[https://www.sba.unipi.it/it/risorse/banche-dati/aida|AIDA database]] (**max 2** concurrent connections)
-  * Ateco 2007 classification: [[https://www.istat.it/it/strumenti/definizioni-e-classificazioni/ateco-2007|.xls, note esplicative, volume integrale]]
-  * {{ :mds:smd:project2018.pdf |Problem presentation and project questions}}.
-  * {{ :mds:smd:smd_project_part1.r | Script for loading and transforming data}} **Updated 15/5/2018**
-=====Written exam=====
-Written exam consists of open questions and exercises. Example text: **{{ :mds:smd:smdsample.pdf | sample1}}**, **{{ :mds:smd:smdsample2.pdf | sample2}}**. The exam lasts 2 hours. No teaching material can be consulted during the exam.
-[[https://esami.unipi.it/esami2/|Registration]] is mandatory.
-^  Date  ^  Hour  ^  Room  ^
-|  22/1/2019  |  9:00 - 11:00  |  Fib-L1  |
-|  12/2/2019  |  9:00 - 11:00  |  Fib-L1  |
-=====Class calendar (final) =====
-^ ^ Day ^ Room ^ Topic ^ Learning material ^ Instructor ^
-|1.| 19.02 16:00-18:00 | L1 | Introduction. Probability and independence. | [B1] Chpts. 1-3 | Tantari |
-|2.| 20.02 9:00-11:00 | N1 | R basics.    | [B2] Chpts. 1,2.1,2.4 {{ :mds:smd:r_intro.pdf | slides}} {{ :mds:smd:smdr1.r | script1.R}} | Ruggieri |
-|3.| 27.02 9:00-11:00 | N1 | Discrete and continuous random variables.    | [B1] Chpts. 4-5 | Tantari  |
-|4.| 06.03 9:00-11:00 | N1| Simulation. Expectation and variance  | [B1] Chpts. 6-7 {{ :mds:smd:gaussianANDrejection.pdf | noteSim}}| Tantari |
-|5.| 12.03 16:00-18:00 | L1 | R basics and distributions.    | [B2] Chpts. 2.2,3-4  {{ :mds:smd:smdr2.r | script2.R}} | Ruggieri |
-|6.| 13.03 9:00-11:00 | N1 | R programming and graphics.    | [B2] Chpts. 2.3,3-4 {{ :mds:smd:r_intro_exercise.r | exercise.R}} {{ :mds:smd:smdr3.r | script3.R}} |Ruggieri |
-|7.| 19.03 16:00-18:00 | L1 | Computations with random variables. Covariance    | [B1] Chpts. 8-10 | Tantari |
-|8.| 20.03 9:00-11:00 | N1 | Sum of random variables. Law of large numbers    | [B1] Chpts. 11,13 | Tantari |
-|9.| 26.03 16:00-18:00 | L1 | The central limit theorem. Graphical summaries    | [B1] Chpts. 14,15 | Tantari |
-|10.| 27.03 9:00-11:00 | N1 | Numerical summaries. Poisson process    |[B1] Chpts. 12,16 {{ :mds:smd:commands.r | Rcode}} {{ :mds:smd:slidesPowerlaw.pdf | slides}}|Tantari  |
-|11.| 16.04 16:00-18:00 | L1 | Examples on CLT. Data preprocessing.    | [B2] Chpt. 10[[http://scg.sdsu.edu/dataset-adult_r/ | dataprep.r]]  {{ :mds:smd:smdr4.r | script4.R}} | Ruggieri |
-|12.| 17.04 9:00-11:00 | N1 |Unbiased estimators. Efficiency and MSE   |[B1] Chpts. 17,19, 20  |Tantari  |
-|13.| 23.04 16:00-18:00 | L1  | Maximum likelihood.    |[B1] Chpt. 21  |Tantari |
-|14.| 24.04 9:00-11:00 | N1  |Fisher Information. Linear Regressions and Least Squares. |[B1] Chpt. 22 {{ :mds:smd:fisher.pdf | fisher}}|Tantari  |
-|15.| 30.04 16:00-18:00 | L1 | Examples on and MSE. Power-laws | [[https://arxiv.org/pdf/cond-mat/0412004.pdf | Newman's paper]], {{ :mds:smd:roc_adult.r |roc_adult.R}}{{ :mds:smd:smdr5.r | script5.R}}  | Ruggieri  |
-|16.| 02.05 14:00-16:00 | A1 | Project and data presentation  |   | Tantari+Ruggieri |
-|17.| 07.05 16:00-18:00 | L1 | Confidence Intervals: Gaussian, T-student, large sample method. |[B1] Chpt. 23,24 |Tantari  |
-|18.| 08.05 9:00-11:00 | N1  | Empirical and parametric bootstrap. Application to confidence intervals.     | [B1] Chpts. 18,23 |Tantari |
-|19.| 14.05 16:00-18:00 | L1 | Hypotheses testing.    |[B1] Chpts. 25-26 | Tantari |
-|20.| 15.05 9:00-11:00 | N1 | Hypotheses testing. Bootstrap. Project tutoring.  | [B2] Chpt. 5.1, {{ :mds:smd:smdr6.r | script6.R}}  | Ruggieri |
-|21.| 21.05 16:00-18:00 | L1 | Hypotheses testing. t-test and application to linear regressions  |[B1] Chpts. 27| Tantari |
-|22.| 22.05 9:00-11:00 | N1 |Hypotheses testing: correlation and Fisher transformation, comparing samples   |[B1] Chpt. 28 {{ :mds:smd:correlation.pdf | CorrNotes}} | Tantari |
-|23.| 28.05 16:00-18:00 | L1 |Hypotheses testing: F-test, K-S, chi-square   | {{ :mds:smd:ks.pdf | K-S}}  | Tantari |
-|24.| 29.05 9:00-11:00 | N1 | Hypotheses testing, parameter estimation. | [B2] Chpts. 5.2-5.7, 6, {{ :mds:smd:smdr7.r | script7.R}}  | Ruggieri |
-=====Previous years=====
-  * [[mds:smd:2017|Statistical Methods for Data Science A.Y. 2016/17]]