English

ST505: Statistical Simulation (5 ECTS)

STADS: 25000501

Level
Bachelor course

Teaching period
The course is offered in the autumn semester.
1st quarter.

Teacher responsible

Email: yuri.goegebeur@stat.sdu.dk

Timetable

Group	Type	Day	Time	Classroom	Weeks
Common	I	Monday	12-14	U20	35
Common	I	Monday	12-14	U26	40
Common	I	Tuesday	14-16	U20	36-37, 39-41
Common	I	Thursday	08-10	U20	35-40
Common	I	Thursday	08-10	U20 + U10b	41
Common	I	Friday	10-12	U26	38
S1	TL	Wednesday	14-16	U10b	35
S1	TL	Thursday	12-14	U10b	40-41
S1	TE	Friday	08-10	U26	36-39
S1	TL	Friday	14-16	U10b	36-39
S1	TE	Friday	08-10	U133	40
S2	TE	Monday	10-12	U49	36-40
S2	TL	Monday	16-18	U10b	36-37
S2	TL	Thursday	14-16	U10b	35,38-41

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Comment:
Ubegrænset deltagerantal. 1. kvartal.

Prerequisites:
None

Academic preconditions:
The contents of one of the courses ST501 SCIENCE STATISTICS or ST503 STATISTICS FOR BIOLOGISTS must be known.

Course introduction
To introduce statistical simulation as a tool to investigate stochastic phenomena and statistical methods, and to perform statistical inference. The participants will learn to use the statistical package R to carry out simulation studies.

Qualifications
The participants will learn how to generate random data from different distributions on the computer, to carry out, analyze and interpret simulation results, to use simulation methods to calculate p values and confidence intervals, to simulate complex systems and investigate their properties, to evaluate properties of statistical methods by use of simulation, to approximate integrals by means of simulation methods.

Expected learning outcome
After having followed the course the student should be able to

• reproduce key theoretical results concerning elementary operations on random variables and to apply these to simple theoretical assignments
• understand, reproduce and apply the fundamental theorems of random variate generation
• simulate variates from the most common distributions
• evaluate the quality of a random number generator
• understand and apply the basic principles of variance reduction
• simulate complex systems and investigate their properties
• use simulation to approximate integrals
• use simulation to compute p-values and confidence intervals
• investigate properties of statistical procedures and estimators using simulation
• perform programming relevant to the content of the course in the statistical package used in the course
• identify and interpret relevant information in the output of the statistical package used in the course
• summarize the results of an analysis in a statistical report

Subject overview
Random number generators, inversion method, rejection sampling, permutation and randomization tests, transformations, simulation of experiments and complex systems, Monte Carlo integration, bootstrap methods.

Literature

Meddeles ved kursets start.

Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
Oral exam. Internal evaluation. Passed/not passed. Project report. 2 reports will be evaluated at the oral exam. The project reports may be submitted by groups of at most 3 students.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger (28 timer), eksaminatorier (10 timer), laboratorieøvelser (12 timer).
Educational activities

Language
This course is taught in English.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.