Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]

Groups > comp.lang.python > #38045 > unrolled thread

Maximum Likelihood Estimation

Back to article view | Back to comp.lang.python

Contents

  Maximum Likelihood Estimation subhabangalore@gmail.com - 2013-02-01 09:17 -0800
    Re: Maximum Likelihood Estimation 88888 Dihedral <dihedral88888@googlemail.com> - 2013-02-01 09:37 -0800
      Re: Maximum Likelihood Estimation subhabangalore@gmail.com - 2013-02-01 10:47 -0800
        Re: Maximum Likelihood Estimation Michael Torrie <torriem@gmail.com> - 2013-02-01 11:59 -0700
        Re: Maximum Likelihood Estimation Jerry Hill <malaclypse2@gmail.com> - 2013-02-01 14:14 -0500
        RE: Maximum Likelihood Estimation tkhan10 <tkhan10@masonlive.gmu.edu> - 2013-02-01 19:01 +0000
          RE: Maximum Likelihood Estimation Steven D'Aprano <steve+comp.lang.python@pearwood.info> - 2013-02-02 10:12 +1100
        Re: Maximum Likelihood Estimation 88888 Dihedral <dihedral88888@googlemail.com> - 2013-02-01 11:55 -0800
    Re: Maximum Likelihood Estimation subhabangalore@gmail.com - 2013-02-01 20:53 -0800
    Re: Maximum Likelihood Estimation Wolfgang Keller <feliphil@gmx.net> - 2013-02-02 19:26 +0100
      Re: Maximum Likelihood Estimation Oscar Benjamin <oscar.j.benjamin@gmail.com> - 2013-02-02 21:41 +0000

#38045 — Maximum Likelihood Estimation

Dear Group,

I am looking for a Python implementation of Maximum Likelihood Estimation. If any one can kindly suggest. With a google search it seems scipy,numpy,statsmodels have modules, but as I am not finding proper example workouts I am failing to use them. 

I am using Python 2.7 on Windows 7.

Thanking You in Advance, 

Regards,
Subhabrata

[toc] | [next] | [standalone]

#38046

subhaba...@gmail.com於 2013年2月2日星期六UTC+8上午1時17分04秒寫道：
> Dear Group,
> 
> 
> 
> I am looking for a Python implementation of Maximum Likelihood Estimation. If any one can kindly suggest. With a google search it seems scipy,numpy,statsmodels have modules, but as I am not finding proper example workouts I am failing to use them. 
> 
> 
> 
> I am using Python 2.7 on Windows 7.
> 
> 
> 
> Thanking You in Advance, 
> 
> 
> 
> Regards,
> 
> Subhabrata

I suggest you can google "python and symbolic 
computation" to get some package for your need first.

Because it seems that you have to work out some 
math formula and verify some random process first
of your data sources with noises .

[toc] | [prev] | [next] | [standalone]

#38047

On Friday, February 1, 2013 11:07:48 PM UTC+5:30, 88888 Dihedral wrote:
> subhaba...@gmail.com於 2013年2月2日星期六UTC+8上午1時17分04秒寫道：
> 
> > Dear Group,
> 
> > 
> 
> > 
> 
> > 
> 
> > I am looking for a Python implementation of Maximum Likelihood Estimation. If any one can kindly suggest. With a google search it seems scipy,numpy,statsmodels have modules, but as I am not finding proper example workouts I am failing to use them. 
> 
> > 
> 
> > 
> 
> > 
> 
> > I am using Python 2.7 on Windows 7.
> 
> > 
> 
> > 
> 
> > 
> 
> > Thanking You in Advance, 
> 
> > 
> 
> > 
> 
> > 
> 
> > Regards,
> 
> > 
> 
> > Subhabrata
> 
> 
> 
> I suggest you can google "python and symbolic 
> 
> computation" to get some package for your need first.
> 
> 
> 
> Because it seems that you have to work out some 
> 
> math formula and verify some random process first
> 
> of your data sources with noises .

Dear Group,
Thanks. I googled and found a new package named Sympy and could generate MLE graphs. Regards,Subhabrata.

[toc] | [prev] | [next] | [standalone]

#38048

On 02/01/2013 11:47 AM, subhabangalore@gmail.com wrote:
> On Friday, February 1, 2013 11:07:48 PM UTC+5:30, 88888 Dihedral
> wrote:
>> subhaba...@gmail.com於 2013年2月2日星期六UTC+8上午1時17分04秒寫道：
>>> I am looking for a Python implementation of Maximum Likelihood
>>> Estimation. If any one can kindly suggest. With a google search
>>> it seems scipy,numpy,statsmodels have modules, but as I am not
>>> finding proper example workouts I am failing to use them.
>> 
>> I suggest you can google "python and symbolic computation" to get
>> some package for your need first. Because it seems that you have to
>> work out some math formula and verify some random process first of
>> your data sources with noises .
> 
> Dear Group, Thanks. I googled and found a new package named Sympy and
> could generate MLE graphs. Regards,Subhabrata.

My hat's off to you for actually interpreting the 88888 dihedral robot's
randomly-created response in a way that actually helped you find the
solution to your problem!  I think that's a python first around here.

Most people on this list consider 88888 dihedral to be a badly
programmed bot.

[toc] | [prev] | [next] | [standalone]

#38049

On Fri, Feb 1, 2013 at 1:59 PM, Michael Torrie <torriem@gmail.com> wrote:
> Most people on this list consider 88888 dihedral to be a badly
> programmed bot.

For what it's worth, I think it's a very cleverly programmed bot.  It
usually makes just enough sense for me to wonder if there really is a
human being behind the keyboard.

-- 
Jerry

[toc] | [prev] | [next] | [standalone]

#38050

Hi..
I know this is a very dumb q but actually I am new to python and to this list. I want to post a question about geographic masking but cannot find out how to post it. Would somebody please suggest me how to do that?
Thank you
Subrina


________________________________________
From: Python-list [python-list-bounces+tkhan10=gmu.edu@python.org] on behalf of subhabangalore@gmail.com [subhabangalore@gmail.com]
Sent: Friday, February 01, 2013 1:47 PM
To: python-list@python.org
Subject: Re: Maximum Likelihood Estimation

On Friday, February 1, 2013 11:07:48 PM UTC+5:30, 88888 Dihedral wrote:
> subhaba...@gmail.com於 2013年2月2日星期六UTC+8上午1時17分04秒寫道：
>
> > Dear Group,
>
> >
>
> >
>
> >
>
> > I am looking for a Python implementation of Maximum Likelihood Estimation. If any one can kindly suggest. With a google search it seems scipy,numpy,statsmodels have modules, but as I am not finding proper example workouts I am failing to use them.
>
> >
>
> >
>
> >
>
> > I am using Python 2.7 on Windows 7.
>
> >
>
> >
>
> >
>
> > Thanking You in Advance,
>
> >
>
> >
>
> >
>
> > Regards,
>
> >
>
> > Subhabrata
>
>
>
> I suggest you can google "python and symbolic
>
> computation" to get some package for your need first.
>
>
>
> Because it seems that you have to work out some
>
> math formula and verify some random process first
>
> of your data sources with noises .

Dear Group,
Thanks. I googled and found a new package named Sympy and could generate MLE graphs. Regards,Subhabrata.
--
http://mail.python.org/mailman/listinfo/python-list

[toc] | [prev] | [next] | [standalone]

#38055

tkhan10 wrote:

> Hi..
> I know this is a very dumb q but actually I am new to python and to this
> list. I want to post a question about geographic masking but cannot find
> out how to post it. Would somebody please suggest me how to do that? Thank
> you Subrina


Are you using email or Usenet?

In your email client:

1) Create a new email message;

2) Type the To address python-list@python.org

3) Type a meaningful subject line such as "Geographic Masking in Python"

4) Type your message.

5) Hit send.

Or, if you are using Usenet, in your news client:

1) Create a new news post;

2) Type the To address comp.lang.python;

3) Type a meaningful subject line such as "Geographic Masking in Python"

4) Type your message.

5) Hit send.



-- 
Steven

[toc] | [prev] | [next] | [standalone]

#38051

在 2013年2月2日星期六UTC+8上午2时47分22秒，subhaba...@gmail.com写道：
> On Friday, February 1, 2013 11:07:48 PM UTC+5:30, 88888 Dihedral wrote:
> 
> > subhaba...@gmail.com於 2013年2月2日星期六UTC+8上午1時17分04秒寫道：
> 
> > 
> 
> > > Dear Group,
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > I am looking for a Python implementation of Maximum Likelihood Estimation. If any one can kindly suggest. With a google search it seems scipy,numpy,statsmodels have modules, but as I am not finding proper example workouts I am failing to use them. 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > I am using Python 2.7 on Windows 7.
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > Thanking You in Advance, 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > 
> 
> > 
> 
> > > Regards,
> 
> > 
> 
> > > 
> 
> > 
> 
> > > Subhabrata
> 
> > 
> 
> > 
> 
> > 
> 
> > I suggest you can google "python and symbolic 
> 
> > 
> 
> > computation" to get some package for your need first.
> 
> > 
> 
> > 
> 
> > 
> 
> > Because it seems that you have to work out some 
> 
> > 
> 
> > math formula and verify some random process first
> 
> > 
> 
> > of your data sources with noises .
> 
> 
> 
> Dear Group,
> 
> Thanks. I googled and found a new package named Sympy and could generate MLE graphs. Regards,Subhabrata.

Well,just reveal more about your problems. 

But if you are concerned with some commercial
problems, then it is not the novice apprentice 
level jokes. 

Then, maybe you can just give some outline of 
the problem. 

[toc] | [prev] | [next] | [standalone]

#38061

On Friday, February 1, 2013 10:47:04 PM UTC+5:30, subhaba...@gmail.com wrote:
> Dear Group,
> 
> 
> 
> I am looking for a Python implementation of Maximum Likelihood Estimation. If any one can kindly suggest. With a google search it seems scipy,numpy,statsmodels have modules, but as I am not finding proper example workouts I am failing to use them. 
> 
> 
> 
> I am using Python 2.7 on Windows 7.
> 
> 
> 
> Thanking You in Advance, 
> 
> 
> 
> Regards,
> 
> Subhabrata

Dear Sir,
The room would take care of you. They still guide me and sometimes the way they rebuke you have to see. You are in a nice room, you'd learn soon. It was bot? If you are testing please let me know I'd like to be part of the testing, and if you suggest may volunteer to send queries. 
Regards,
Subhabrata. 

[toc] | [prev] | [next] | [standalone]

#38085

> I am looking for a Python implementation of Maximum Likelihood
> Estimation. If any one can kindly suggest. With a google search it
> seems scipy,numpy,statsmodels have modules, but as I am not finding
> proper example workouts I am failing to use them. 

For statistics I would suggest using R (http://www.r-project.org/)
through RPy (http://rpy.sourceforge.net/).

Both have dedicated mailinglists as well as extensive documentation.

Sincerely,

Wolfgang

[toc] | [prev] | [next] | [standalone]

#38090

On 2 February 2013 18:26, Wolfgang Keller <feliphil@gmx.net> wrote:
>> I am looking for a Python implementation of Maximum Likelihood
>> Estimation. If any one can kindly suggest. With a google search it
>> seems scipy,numpy,statsmodels have modules, but as I am not finding
>> proper example workouts I am failing to use them.
>
> For statistics I would suggest using R (http://www.r-project.org/)
> through RPy (http://rpy.sourceforge.net/).
>
> Both have dedicated mailinglists as well as extensive documentation.

I agree with Wolfgang that R is likely to be able to do what you want
and that you may have better luck asking this kind of question on
their mailing lists (or on the scipy mailing list).

In any case, though, you will need to be more specific about what you
mean. Maximum Likelihood Estimation (MLE) is a sufficiently vague
topic that there cannot really be an "implementation" of it. What kind
of model/data are you working with? Or are you working with pure
probability distributions? What kind of parameters are you trying to
find? Are the parameters you are trying to choose discrete or
continuous? Are you trying to find one parameter or several
simultaneously? Are you able to find an analytic solution that
transforms your MLE problem into a specific kind of mathematical
problem, such as solving a system of linear equations?

Assuming that you are able to compute directly the likelihood (or
log-likelihood) of whatever it is you are interested in, then your MLE
problem is simply an optimisation problem, so you may have better luck
searching for implementations of optimisation (you will still need to
answer the questions above to be able choose an optimisation method).


Oscar

[toc] | [prev] | [standalone]

Back to top | Article view | comp.lang.python

csiph-web