Postgraduate Course: Nonparametric Regression Models (MATH11186)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | A regression function is an important tool for describing the relation between two or more random variables. In real life problems, this function is usually unknown but can be estimated from a sample of observations. Nonparametric methods are flexible techniques dedicated to treat general cases where the shape of the regression curve is unknown.
In this course we will introduce nonparametric regression models and their application in practice using R. |
| Course description |
Topics to be covered includes :
- splines;
- general additive models;
- kernel estimation;
- wavelets; and
- the use of R for fitting nonparametric models.
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Course Delivery Information
|
| Academic year 2017/18, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
|
| Assessment (Further Info) |
Written Exam
95 %,
Coursework
5 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 5%; Examination 95% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Nonparametric Regression Models (MATH11186) | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- understand a range of methods for nonparametric regression and be able to apply them.
- study asymptotic properties of nonparametric estimators.
- use R to fit nonparametric regression models.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
These Postgraduate Taught courses may be taken by Undergraduate students *without* requiring a concession (NB. students on Postgraduate taught programmes are given priority in the allocation of places). For all other Postgraduate Taught courses the student and/or Personal Tutor must seek a concession. |
| Keywords | NRM,Nonparametric,Statistics |
Contacts
| Course organiser | Dr Jonathan Gair
Tel: (0131 6)50 4897
Email: J.Gair@ed.ac.uk |
Course secretary | Mrs Frances Reid
Tel: (0131 6)50 4883
Email: f.c.reid@ed.ac.uk |
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