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Generalized Additive Models [Trevor Hastie and Robert Tibshirani 86] was well received with over 1335 Citations.

I am also aware of the popular(?) version of GAM - the Multivariate Adaptive Regression Splines MARS by Friedman 91 - 4568 Citations.

I would like to know how popular / scalable / practically valid, the sparse version of GAM - the Sparse Additive Model ( SpAM ) is in comparison to the MARS. I am planning to implement this for academic purposes. Would it be worth the effort spent in learning about this assuming I am trying to learn more about GAMs in general or should I choose any other state of the art GAM model which is widely accepted ( Other than MARS ) to implement and learn?

It would be awesome if you could keep in mind that I am a newbie to this field.

Also I am new to this community please let me know if this question is considered on topic too.

References for SpAM:

Also closely related - Generalized additive models -- who does research on them besides Simon Wood?

EDIT:

To summarize these are the 3 questions I'd love an answer for -

  • With just academic interest and no particular application in mind, what is the state of the art research in GAMs?
  • How popular / scalable / practically valid is the sparse version SpAM?
  • I'd like to learn about GAMs and implement a GAM based model that is widely accepted ( like MARS ) preferably in Python ( MARS already has PyEarth ). Which one would you recommend and why?
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Raghav RV
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    The paper you are presumably alluding to is by Trevor Hastie and Robert Tibshirani in Statistical Science. You omitted the first author and misspelled the name of the second. (Anyone answering this question would know that, but it's put in for some others.) – Nick Cox Dec 01 '15 at 16:01
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    I suggest that you are posing three very different questions. The first alone calls for a review paper. Are new implementations needed? (Whether MARS is a "popular version" of GAM I leave to experts.) You are posting as a newbie aiming to offer an implementation for researchers; that is impressively ambitious. – Nick Cox Dec 01 '15 at 16:05
  • "The ... others." - Thanks! Have edited the same :) ; "You are posting as a newbie aiming to offer an implementation for researchers;" - Ah! nope ;) Like I said I'd like to "to implement and learn". The reason I was looking for a good one to implement is so that I don't expend my energy in a wrong direction :) – Raghav RV Dec 01 '15 at 17:01
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    I like your thoughtful questions but it will be closed as too broad. Divide the three questions into separate questions and it will help to make them more precise. – Michael R. Chernick Aug 22 '18 at 16:28

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