| Windham_populationinverse | R Documentation |
Returns the matrix which reverses the effect of weights on a population for certain models.
Windham_populationinverse(cW)
Windham_populationinverse_alternative(newtheta, previoustheta, cW, cWav)
cW |
A vector of tuning constants for the Windham robustification method performed by |
newtheta |
The parameter vector most recently estimated |
previoustheta |
The parameter vector estimated in the previous step |
cWav |
The value of the non-zero elements of |
In the Windham robustification method (Windham()) the effect of weighting a population plays a central role.
When the
the model density is proportional to \exp(\eta(\theta) \cdot T(u)),
where T(u) is a vector of sufficient statistics for a measurement u,
and \eta is a linear function,
Then weights proportional to
\exp(\eta(c \circ \theta) \cdot t(u)),
where c is a vector of tuning constants and \circ is the Hadamard (element-wise) product,
have a very simple effect on the population parameter vector \theta:
the weighted population follows a density of the same form, but with a parameter vector of
(1 + c) \circ \theta.
The inverse of this change to the parameter vector is then a matrix multiplication by a diagonal matrix with elements 1/(1+c_i), with c_i denoting the elements of c.
A diagonal matrix with the same number of columns as cW.
Windham_populationinverse(): The matrix with diagonal elements 1/(1+c_i)
Windham_populationinverse_alternative(): The transform implemented as described by \insertCitescealy2024ro;textualscorematchingad. It is mathematically equivalent to multiplication by the result of Windham_populationinverse() in the situation in \insertCitescealy2024ro;textualscorematchingad.
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