Let fy1 yng be a sample from a stationary process. Suggest a
procedure to determine if the stochastic process is the sum of a constant and
a white noise?
Let f"1ng be Gaussian white noise with zero-mean and unit variance
and suppose that we are interested in simulating a Gaussian stationary
process fy1; y2 yng with autocovariance function and mean _. Show
that this process can be simulated by generating a sample of the white noise
" = f"1 ng and then obtaining y = _ + A", where A is a square matrix
satisfying AA0 = with i;j = (i j).
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