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STA-3003 Non-parametric inference
Teaching autumn 2007 Første oppmøte mandag 20.08. kl. 11.15, U.rom 2, Realfagsbygget
Responsible teacher:Prof. Fred Godtliebsen |
Work Load 10 credits (ECTS) | Type of course Theoretical subject. | Level of course/Year of study Master's level course. | Language of instruction Norwegian english by request | Examination semester Autumn
| 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.
| Recommended previous qualifications STA-2002 Theoretical statistics | Form of teaching Lectures: 40 h Coursework: 30 h A passing grade is required on up to 6 mandatory homework sets for permission to take the exam. | Coursework requirements
Mandatory homework sets
| Exam and assessment Oral exam and three mandatory homwork sets. A passing grade is requried of two homwork sets to take the exam. Letter grades (A-F). | Contact person/lecturer Helge Johansen, tlf: 77 64 51 30, e-post: helge.johansen@matnat.uit.no | Recommended reading/syllabus Available on request | Course overlap S-315 -1 9 sp STA-8003 -1 10 sp | Homepage http://uit.no/matstat/sta-3003/
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