Nuisance calls latest

Neighborhoods as Nuisance

Neighborhoods as Nuisance Parameters

Deviations from the center within a robust neighborhood may naturally be considered an innnite dimensional nuisance parameter. Thus, in principle, the semiparametric method may be tried, which is to compute the scores function for the main parameter minus its orthogonal projection on the closed linear tangent space for the nuisance parameter, and then rescale for Fisher consistency. We derive s...

Weighted Nuisance Attribute Projection

Nuisance attribute projection (NAP) has become a common method for compensation of channel effects, session variation, speaker variation, and general mismatch in speaker recognition. NAP uses an orthogonal projection to remove a nuisance subspace from a larger expansion space that contains the speaker information. Training the NAP subspace is based on optimizing pairwise distances to reduce int...

Statistics: nuisance - tool - necessity?

Dear Readers and Authors, One of an editor's duties is to do the final proofreading of a manuscript. I have found that errors in the statistical evaluation of data are the most frequent reason for corrections at that stage. In this respect, one could say that statistics is a nuisance, for me at least. I also remember thinking statistical evaluation was a nuisance early in my scientific career, ...

The elimination of nuisance parameters

We review the Bayesian approach to the problem of the elimination of nuisance parameters from a statistical model. Many Bayesian statisticians feel that the framework of Bayesian statistics is so clear and simple that the elimination of nuisance parameters should not be considered a problem: one has simply to compute the marginal posterior distribution of the parameter of interest. However we w...