weakly stationary purely indeterministic process

Discussion in 'CT6' started by nageshmcl, Jul 29, 2009.

  1. nageshmcl

    nageshmcl Member

    Hi,

    I didn't understand this concept even by looking at the given examples Q12.4.
    Can anyone help me in step by step? Thanks in advance.

    Regards,
    Nageswar.
     
  2. Busy_Bee4422

    Busy_Bee4422 Ton up Member

    My response is just the broad strokes.

    There are two conditions to be met. We therefore prove/disprove weak stationarity by seeing if these conditions are met.

    1. The expectation is constant.(E(Xt) = constant)

    This is normally proved by showing that the expectation does not depend on t. It may be an expression but it must be the same for all Xt.

    2. The covariance of Xt and Xs must depend on t-s (the lag) only. This part is normally a bit tricky for time series since the Xt might be defined including Xs. Practice eventually gives u a hang of whats happening.

    Incidentally I used another textbook for this part to get the basics in place. That part of the acted might be a bit daunting because of the trig functions that they use but they are just doing the above. Indeed this is quite mathematical so get dirty and master the manipulations!!

    All the best.
     
  3. nageshmcl

    nageshmcl Member

    Hi,

    Thanks for your response. I am unable to catch the timeseries concepts with the given explanation in the material. Can you please give the name of the book to get the fundas on this. And please explain this concept with the egs given in Question 12.4.

    Given Yt be a sequence of iid ~ N(0,1), Which of the following are stationary time series?

    (i) Xt = sin(wt+U), where U ~ U[0,2Pie]
    (ii) Xt = sin(wt+Yt)
    How (i) is not purely indeterministic and how it differs from (ii)
    (iv) Xt= Yt-1 + Yt - How it is purely indeterministic?

    Thanks & Regards,
    Nageswar.
     
  4. Busy_Bee4422

    Busy_Bee4422 Ton up Member

    (iv) Response

    Ok Forgive my notation lapses.

    iv) A time series is purely indeterministic if the information u have at a certain time becomes increasingly useless in helping u determine the value of the time series at a later time as the time increases since u got the info.

    In this case Xt is defined by Yt and Yt-1 ie info at this step and the one before. All other info before that doesn't matter since the Yts are independent. In other words the info u have now at time t won't help u at time t+2 since Xt+2 depends on Yt+2 and Yt+1, info u don't have now since the Yts are independent.
     
  5. Busy_Bee4422

    Busy_Bee4422 Ton up Member

    (i) and (ii)

    Though these expessions look similar they are not at all.

    For (i) Xt = sin(wt +U) at t = 0 Xo = sin(U) (U being a constant) therefore this means that if we know the info at the first instance any future Xt can be known. This makes the function deterministic.

    For (ii) Xt = sin(wt + Yt) at no time can info of a certain Xt help u with any other Xt since the Yts are independant. They r therefore purely indeterministic.
     
  6. nageshmcl

    nageshmcl Member

    Thank you very much!

    Thanks
     

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