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Seminar for Statistics
 
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Fundamentals of Mathematical Statistics

401-3621-00L

Lecturer: Prof. Sara van de Geer

Assistants: Benjamin Stucky, Jana Jankova

Content: In mathematical statistics, data is exploited to get information about certain aspects of the underlying probability distributions. This lecture covers: introductory examples, formalism of decision theory, optimality measures, optimality in simple models, asymptotics of estimators and tests.

Lecture:
We 10-12 HG E 1.1
Fri  08-10 HG E 1.1

Exercise Lessons:
Tue 14-15 HG F 26.3

Tue 12-13 HG E 1.1

Exercises:

First exercise lesson: Tuesday, September 22, 2015.

Problem Sheets
Preliminary Discussion Solution
Problem Sheet 1 September 22, 2015 Solution 1
Problem Sheet 2 September 29, 2015 Solution 2
Problem Sheet 3 October 6, 2015 Solution 3
Problem Sheet 4 October 13, 2015 Solution 4
Problem Sheet 5 October 20, 2015 Solution 5
Problem Sheet 6 October 27, 2015 Solution 6
Problem Sheet 7 November 3, 2015
Solution 7
Problem Sheet 8 November 10, 2015 Solution 8
Problem Sheet 9 November 17, 2015
Solution 9
Problem Sheet 10 November 24, 2015 Solution 10
Problem Sheet 11 December 1, 2015
Solution 11
Problem Sheet 12 December 8, 2015
Solution 12

Requirements for the Testat: None.

PhD Students: If you only need the ETH credit points, please hand in solutions to 5 problem sheets. If you need ECTS points, you do not have to hand in solutions but to pass the exam (an online registration on mystudies is required).

Material: script

 

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© 2016 Mathematics Department | Imprint | Disclaimer | 21 December 2015
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