1 citations · 1 across the 4 of their papers we have counts for
6 papers
(Sequential) Joint Detection and Estimation: Classic Results and New Directions
Dominik Reinhard, Abdelhak M. Zoubir
We provide an overview of the problem of jointly testing two hypotheses and estimating a parameter of the selected model. Such problems arise in a variety of applications. First, w…
Minimax Optimal Procedures for Joint Detection and Estimation
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Sp…
Asymptotically Optimal Procedures for Sequential Joint Detection and Estimation
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We investigate the problem of jointly testing multiple hypotheses and estimating a random parameter of the underlying distribution in a sequential setup. The aim is to jointly infe…
Distributed Joint Detection and Estimation: A Sequential Approach
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We investigate the problem of jointly testing two hypotheses and estimating a random parameter based on data that is observed sequentially by sensors in a distributed network. In p…
Bayesian Sequential Joint Detection and Estimation under Multiple Hypotheses
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We consider the problem of jointly testing multiple hypotheses and estimating a random parameter of the underlying distribution. This problem is investigated in a sequential setup…
Bayesian Sequential Joint Detection and Estimation
Dominik Reinhard, Michael Fauss, Abdelhak M. Zoubir
Joint detection and estimation refers to deciding between two or more hypotheses and, depending on the test outcome, simultaneously estimating the unknown parameters of the underly…