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Re: st: multivariate lpoly


From   Nick Cox <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: multivariate lpoly
Date   Mon, 10 Mar 2014 19:19:12 +0000

They are indeed different, and not exactly what you are asking for.

Good luck to anyone capable of coding something quickly with
-mm_kern()- (as I think you mean).

Note: please explain where user-written software you refer to comes
from (in this case -moremata- from SSC?).


Nick
[email protected]


On 10 March 2014 19:08, László Sándor <[email protected]> wrote:
> Thanks, Nick, Greg â I did look into -mfp- and -margintegrate- and
> both seem to do something different.
>
> I wonder if I should simply code up something quicky with -mf_mm_kern()-.
>
> Laszlo
>
> On Mon, Mar 10, 2014 at 2:19 PM, Nick Cox <[email protected]> wrote:
>> I'd restrict the descriptor "multivariate (anything) regression" to
>> multiple responses.
>>
>> Here you want multiple predictors: the official Stata offering
>> includes -mfp- and in addition there is a sibling spline family in
>> -mvrs- (SJ).
>>
>> One difficulty with a local polynomial is quite how you report it,
>> except as a series of graphs and an estimated response for every
>> distinct observation.
>>
>> Nick
>> [email protected]
>>
>>
>> On 10 March 2014 17:46, László Sándor <[email protected]> wrote:
>>> Hi all,
>>> I found some prior notes on the list about multivariate nonparametric
>>> regression, but no definitive conclusion. Is there something you would
>>> recommend now? Anything that scales as gracefully with the number of
>>> x's as possible? (The curse of dimensionality is always an issue with
>>> this kind of work.)
>>>
>>> Think of
>>> lpoly y x1 [x2 ...], generate(ybar)
>>> instead of the simple
>>> lpoly y x, generate(ybar)
>>>
>>> Some older code is available as kernreg.ado of Chuck Manski detailed
>>> in http://faculty.wcas.northwestern.edu/~cfm754/bounds_stata.pdf
>>>
>>> Thanks!
>>>
>>> Laszlo
>>>
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