Computational Statistics
2024 - 2025

Lecturer:   Assoc. Prof. Cristian Gaţu, Ph.D.

Timetable

Academic year 2024-2025 structure

Announcements

• The schedule of the student talks can be found here. (last update: 16.12.2024)


• The second written test will take place on Thursday, 19th of December 2024, at 10:00, room C308 room C309.


• Early recovery timetable of 11th week (December 9-15).


• Evaluation

Resources

Bibliography

1. D. S. Moore, G. P. McCabe, B. Craig. Introduction to the Practice of Statistics. W. H. Freeman & Co., 2009.
2. G. Cowan. Statistical Data Analysis. Clarendon Press, 1998.
3. T. Hastie, R. Tibshirani and J. Friedman. The Elements of Statistical Learning, Springer, 2001. (URL)
4. T.M. Mitchell. Machine Learning, McGraw-Hill, 1997.
5. G. A. F. Seber, Linear Regression Analysis, John Wiley and Sons Inc., 1977.
6. N.R. Draper and H. Smith, Applied Regression Analysis, John Wiley and Sons Inc., 1966.
7. E.J. Kontoghiorghes, Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems, Kluwer Academic Publishers, 2000.

Lecture notes

• Administration
• Lecture 1   (detailed notes)  
  • Bibliography: [CR1] (Ch 1: Introduction, 1.1, 1.2); [CR2] (pp 1-20); [CR7] (pp 39-47).
• Lecture 2   (detailed notes,   Z-Table,   t-Table)
  • Bibliography: [CR2] (pp 26-34); [CR1] (pp 53-67, 314-344, 356-366).
• Lecture 3   (detailed notes)
  • Bibliography: [CR6]
• Lecture 4   (detailed notes)
  • Bibliography: [CR1] (pp 560-576).
• Lecture 5   (detailed notes),   (House dataset)
  • Bibliography: [CR1] (pp 607-613).
• Lecture 6   (detailed notes)
  • Bibliography: [CR3] (pp 57-61, 219-227).
• Lecture 7  
  • Bibliography: [A2], [A9].
• Lecture 7, 2nd part  
  • Bibliography: [A6], [A7].
• Lecture 8  

Practical works

• R notes,   (Population dataset)
• Assignment 1. Bibliography: [LR2]
• Assignment 2  
• Assignment 3   (Alcool dataset,   IQ dataset)
• Assignment 4   (House dataset,   Boston dataset)
• Assignment 5
• Assignment 6   (Swiss banknotes dataset)

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