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Implementing a Kalman filter in R

4 messages · mala10af, R. Michael Weylandt, Roy Mendelssohn - NOAA Federal +1 more

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Hi all,

I am a student and I ma writing my master thesis about oil and gasoline
options. In my master thesis I would like to estimate some parameter of the
oil market. I base my pricing models according to Schwartz (1997). In order
to get those data a I need to run a Kalman filter algorith with mximisation
of the likelihodd. I am not that familiar with R. Can any of you suggestment
a basic code to run the kalman filter?, so I can use it as a starting point
to build up more complex one? Does any of you can suggest me a good book
about R?

Thank you for your help.

Teo

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R has four "Kalman" functions -- type apropos("Kalman") to see them --
then you can get info about any of them in particular by typing ?
funcname or running example(funcname) to see worked examples.

Beyond the scope of your question, you also might be interested in
this: http://cran.r-project.org/web/packages/schwartz97/index.html

Best,

Michael
On Sat, May 19, 2012 at 9:57 AM, mala10af <mala10af at student.cbs.dk> wrote:
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Hi Teo:
On May 19, 2012, at 6:57 AM, mala10af wrote:

            
See:

http://www.jstatsoft.org/v41/i04

and

http://www.jstatsoft.org/v39/i02

-Roy


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NOAA/NMFS
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1 day later
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In addition to the papers suggested by Roy, if you are interested in a
book-length treatment of state space models and Kalman filter in R, I
would look at

 http://www.springer.com/978-0-387-77237-0

And I would carry out the implementation in R using package dlm

Just my (biased) 2 cents....

Best,
Giovanni
On Sat, 2012-05-19 at 08:49 -0700, Roy Mendelssohn wrote: