expectation: Expectations and variances of distributions

In bspec: Bayesian Spectral Inference

Expectations and variances of distributions

Description

Functions to compute (posterior) expectations or variances of the distributions specified as arguments.

Usage

  expectation(x, ...)
  variance(x, ...)
  ## S3 method for class 'bspec'
expectation(x, two.sided=x$two.sided, ...)
  ## S3 method for class 'bspec'
variance(x, two.sided=x$two.sided, ...)
  ## S3 method for class 'bspecACF'
expectation(x, ...)
  ## S3 method for class 'bspecACF'
variance(x, ...)

Arguments

x	A bspec or bspecACF object.
two.sided	A logical flag to indicate whether to compute expectation / variance of one- or two-sided spectrum, if the argument x is a bspec object.
...	currently unused.

Value

A numeric vector giving the expectations/variances corresponding to the frequencies or lags of the argument.

Author(s)

Christian Roever, [e-mail]

References

Roever, C., Meyer, R., Christensen, N. Modelling coloured residual noise in gravitational-wave signal processing. Classical and Quantum Gravity, 28(1):015010, 2011. doi: 10.1088/0264-9381/28/1/015010. See also arXiv preprint 0804.3853.

See Also

bspec, acf.bspec

Examples

# note the changing expectation
# with increasing prior/posterior degrees-of-freedom:
expectation(bspec(lh))
expectation(bspec(lh, priordf=1, priorscale=0.6))
expectation(bspec(lh, priordf=2, priorscale=0.6))

# similar for variance:
variance(bspec(lh, priordf=2, priorscale=0.6))
variance(bspec(lh, priordf=3, priorscale=0.6))

# and again similar for autocovariances:
expectation(acf(bspec(lh)))
expectation(acf(bspec(lh, priordf=2, priorscale=0.6)))
variance(acf(bspec(lh)))
variance(acf(bspec(lh, priordf=4, priorscale=0.6)))

bspec documentation built on April 20, 2022, 5:08 p.m.