I am doing some literature review on non parametric regression techniques.
I would like to ask those familiar with the topic if you may know the disadvantages and advantages of ANNs compared to other non parametric regression techniques like :
- MARS (Multiple Adaptive Regression Spline)
- Projection Pursuit Regression
- Gaussion Process Models (?)
- Additive Models
Is There Anyone who has a comparative literature on it?
Your Contribution will be of great help.
You may find this answer in the following Link->to compare the performance of ANN and multivariate logistic regression models for prediction which I needed some time ago.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC551612/
You may find this answer in the following Link->to compare the performance of ANN and multivariate logistic regression models for prediction which I needed some time ago.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC551612/
Hi Yves,
Maybe this paper where ANN is compared among other models (MARS, PPR, SVR, RF) is useful to you.
Cheers,
Manuel
Article Predictive models for forecasting hourly urban water demand
Dear Yves,
In 1996, Carl E. Rasmussen has written an excellent PhD thesis regarding your question. The title is:
EVALUATION OF GAUSSIAN PROCESSES AND OTHER METHODS FOR NON-LINEAR REGRESSION
and you can download from:
http://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf
Kind regards,
Matteo
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