Concurrent estimation is a statistical or computational method used to estimate multiple parameters or quantities simultaneously rather than sequentially. This approach can be applied in various fields such as statistics, machine learning, control systems, and more. The core idea is to leverage the relationships and dependencies among the parameters being estimated to improve the accuracy and efficiency of the estimation process.
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