Home
Numerical Excel Tutorial
Microscopic Pedestrian Simulation
Kardi Teknomo's Tutorial
Micro-PedSim
Free Download
Personal Development Handbook
Research
Publications
Tutorials
Resume
Resources
Contact
Tutorial Feedback
Visitors' Comments on Tutorial: KernelRegression
We have 14 comments on this tutorial
> (date: )
By
rate up: 52 rate down: 55 last rated date: 2014-09-10
Is this comment useful?
yes
no
Answer > OpenOffice (date: 2010-07-25)
By Kardi
Unfortunately Open Office does not have similar capability of MS Excel Solver
rate up: 211 rate down: 259 last rated date: 2014-09-22
Is this comment useful?
yes
no
Question > OpenOffice (date: 2010-07-25)
By Mike
I like Open-Office, but the solvers for it are different than those for Excel. Can you comment on using this technique with OpenOffice?
rate up: 584 rate down: 181 last rated date: 2014-09-22
Is this comment useful?
yes
no
Thank you > Weights (date: 2011-01-23)
By anon12345
Thank you for the excellent overview tutorial! Aside from solver, how can you find the weights?
rate up: 161 rate down: 163 last rated date: 2014-09-09
Is this comment useful?
yes
no
Thank you > Kernel regression (date: 2011-05-05)
By John
I read a lot of materials to understand how the Kernel regression works.Most of them describe the theory very well which is not difficult to understand; however, I was unable to practically use the method for my regression problem. But after reading the tutorial in this website, I am very much confident that I can write my own code in R to solve the problem. Did you notice that the solver function in excel gives new values each time we optimize ? however, the results are not that much different. Thanks, John
rate up: 170 rate down: 143 last rated date: 2014-09-09
Is this comment useful?
yes
no
Suggestion > Kernel Regression (date: 2011-05-16)
By Burcak Otlu Saritas
I would like to thank your tutorial on Kernel regression. I have some suggestions. First of all, font style for formulas is not good. formulas are not clear. Second, how the weight parameters are estimated in Kernel Regression (Nadaraya-Watson) is missing. Thanks, Burcak Otlu Saritas
rate up: 157 rate down: 139 last rated date: 2014-09-11
Is this comment useful?
yes
no
Question > How to calculate weights (date: 2011-07-27)
By Khongor Tsogt
I just found paper that discuss about kernel density estimation and it is very useful to my study if I can use it. But, I have no knowledge about how to do kernel density estimation. So, I want to use your sample to do it my own. But, it is still not clear to understand. If it is possible can you give me description. In the internet only your example is the most easy to understand for me. Thank you.
rate up: 153 rate down: 132 last rated date: 2014-09-09
Is this comment useful?
yes
no
Question > How to compute kernel (date: 2011-12-07)
By Dia
If I have the following data structure: x = [1 2 3; 3 2 4] I want to find the values form Gaussian kernel assuming that sigma = 1. All the values from kernel is z = [1 1 1; 1 1 1]; Am I correct?
rate up: 129 rate down: 115 last rated date: 2014-09-23
Is this comment useful?
yes
no
Answer > kernel (date: 2011-12-13)
By Kardi
Hi Vita, In my tutorial, capital X represents your data point while small x indicates extension of that data in a very small step for the purpose of smoothing. I cannot comment on the formulations of other people. You may download the spreadsheet companion of this tutorial. It gives you example how to compute in very detail.
rate up: 139 rate down: 109 last rated date: 2014-09-19
Is this comment useful?
yes
no
Others > Review (date: 2012-01-11)
By Erik Stewart
Good examples. I think the tutorial would be more helpful if you included a larger dataset and worked with a smaller subsample space (dx) to illustrate weighting and the smoothing effect across more points than just 5. Other than that, this is an exceptional introductory tutorial and is easy to understand for someone with a limited mathematical background like myself.
rate up: 154 rate down: 95 last rated date: 2014-09-13
Is this comment useful?
yes
no
Suggestion > Como calculas los pesos (date: 2012-01-18)
By Hermes Herrera Martinez
Creo que pudo haberse publicado como calcular los pesos, no se como el Excel calcula, que metodo se utiliza para calcular los pesos.
rate up: 145 rate down: 99 last rated date: 2014-09-15
Is this comment useful?
yes
no
Question > Weight parameters (date: 2012-08-02)
By Lazaro Martinez
How can I calculate the weights. How the weight parameters are estimated. By the way, can you help us publishing another example.
rate up: 84 rate down: 92 last rated date: 2014-09-20
Is this comment useful?
yes
no
Answer > Multivariate Kernel Regression (date: 2014-08-07)
By Kardi
Thank you. For multivariate kernel regression, you can refer to the book of Hastie et al (2003) The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
rate up: 3 rate down: 3 last rated date: 2014-09-08
Is this comment useful?
yes
no
Question > Kernel Regression (date: 2014-08-07)
By Leon Bezuidenhout
Good morning I found this tutorial very interesting and helped a lot with the understanding and applications. I would like to know how the spreadsheet calculation would be adjusted in the multivariate case?
rate up: 2 rate down: 4 last rated date: 2014-09-09
Is this comment useful?
yes
no
© 2007 Kardi Teknomo. All Rights Reserved.
Designed by
CNV Media