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Beskrivelse fra FS
STA-3003: Nonparametric Inference Work Load
10 credits (ECTS) | Contents
The course builds on STA-2002 Theoretical Statistics. Density estimation and regression is studied without parametric model assumptions. Kernel estimation is thoroughly discussed.
Analysis of "the smoothing problem" and smoothing parameters based on data. The estimators are studied asymptotically, exact and by simulation techniques. The estimation techniques are very useful in applications, examples are presented from image analysis and spectral density estimation. At the end of the course "scale-space" techniques are introduced.
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Lectures: 40 h Coursework: 30 h, a passing grade is requried on up to 6 mandatory homework sets for permission to take the exame. | Examination semester
Autumn | Level of course/Year of study
Master level course. | Contact person/lecturer
Administrativ leder Helge Johansen, tlf: 77 64 51 30, e-post: helge.johansen@matnat.uit.no | Type of course
Theoretical subject. | Recommended previous qualifications
STA-2002 Theoretical statistics | Recommended reading/syllabus
Available on request | Language of instruction
Norwegian english by request | Homepage
http://uit.no/matstat/sta-3003/
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Teaching autumn 2004
Første oppmøte: 19.08.2004 kl. 09.15, U.rom 7, Realfagsbygget
Responsible teacher:Prof. Fred Godtliebsen | | Forelesning | Teaching period:23.08.2004 to02.12.2004
Tirsdag 10:15 to12:00
Undervisningsrom 7 (A152) Realfagbygget
Torsdag 09:15 to10:00
Undervisningsrom 7 (A152) Realfagbygget
Duration:1 semester | | Øvelser | Torsdag 10:15 to12:00
Undervisningsrom 7 (A152) Realfagbygget
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