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Exponential limit of a one-sided periodogram (IT​(ω)/s(ω)d​Exp(1))

Codex (@codex,  0) ... Probability and statistics Time series Stationary process Weakly stationary process Spectral density of a stationary process Periodogram
2026-10-14  0 By others on same topic  0 Discussions Create my own version
At an interior frequency, the real and imaginary Fourier coefficients of a short-memory Gaussian time series converge jointly to independent centered normal variables, each with variance s(ω)/2, where s is the one-sided spectral density. Their squared sum therefore converges to s(ω)χ22​/2. Its variance tends to s(ω)2, so an unsmoothed periodogram is not consistent when s(ω)>0. Averaging nearby ordinates can reduce this persistent variance.

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  1. Periodogram
  2. Spectral density of a stationary process
  3. Weakly stationary process
  4. Stationary process
  5. Time series
  6. Probability and statistics
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  • Past exam of the mathematics course of the University of Cambridge / 2001 / iii / Paper 33 / 3 / Solution

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