Bayesian point null hypothesis testing via the posterior likelihood ratio
Statistics and Computing
Information importance of predictors: Concept, measures, Bayesian inference, and applications
Computational Statistics & Data Analysis
The importance of statistical evidence for focussed Bayesian fusion
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Inhibition in multiclass classification
Neural Computation
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An approach to significance testing by the direct interpretation of likelihood is defined, developed and distinguished from the traditional forms of tail-area testing and Bayesian testing. The emphasis is on conceptual issues. Some theoretical aspects of the new approach are sketched in the two cases of simple vs. simple hypotheses and simple vs. composite hypotheses.