Composite Tests under Corrupted Data

Rank tests for corrupted linear models

For some variants of regression models, including partial, measurement error or error-in-variables, latent effects, semi-parametric and otherwise corrupted linear models, the classical parametric tests generally do not perform well. Various modifications and generalizations considered extensively in the literature rests on stringent regularity assumptions which are not likely to be tenable in m...

Corrupted Speech Data Considered Useful

The success of Voice-over-IP technology will crucially depend on the provision of a certain level of perceptual speech quality. In this paper we demonstrate that keeping as much corrupted speech data as possible results in a major step towards this goal. To this end, we explore the combination of two key factors which influence the speech quality as perceived by the user: networking mechanisms ...

Data-Driven Smooth Tests When the Hypothesis Is Composite

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Bayesian tests for composite alternative hypotheses in cross-tabulated data

Complexity-Regularized Denoising of Poisson-Corrupted Data

In this paper, we apply the complexity–regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between complexity–regularized estimation and rate–distortion theory. For computational tractability, we apply constrained coders such as JPEG or SPIHT to solve the optimization problem approximately. Also, we design a simple pred...