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In focus Mitarbeitende Rita Ghosh Short CV Publications Talks Research Topics Students Links Codes ETH Course Statistics Lab Organization Mission and Tasks History Job opportunities Contact and maps

Smoothing and Nonparametric Regression

Lecture notes: Login (user ID & password will be given out in the class)
ETH web: Course catalog
Credit points: 4 KP
When/where: First lecture: 19.09.2013, Last lecture: 19.12.2013. ETH main building, HG E 21, Thursdays 10-12
Final exam: Oral exam, closed books & closed notes. The date will be announced in due course.

Lecturer: Rita Ghosh

Personal homepage, Email: rita.ghosh@wsl.ch

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ETH semester dates

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Selection of references:

- Statistical Inference, by S.D. Silvey, Chapman & Hall.
- Regression Analysis: Theory, Methods and Applications, by A. Sen and M. Srivastava, Springer.
- Density Estimation, by B.W. Silverman, Chapman and Hall.
- Kernel Smoothing, by M.P. Wand and M.C. Jones, Chapman and Hall.
- Local polynomial modelling and its applications, by J. Fan and I. Gijbels, Chapman & Hall.
- Nonparametric Simple Regression, by J. Fox, Sage Publications.
- Applied Smoothing Techniques for Data Analysis: the Kernel Approach With S-Plus Illustrations, by A.W. Bowman, A. Azzalini, Oxford University Press.

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