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Should Delayed Measurements Always be Incorporated in Filtering?

We consider situations in which the measurements an agent expects to receive are prone to delay. A number of procedures have been proposed to handle such delays. These procedures provide extended frameworks that incorporate delayed measurement once available. In a simple context, we explore the performance of these algorithms, and find that we can reduce the computational demands of these methods while retaining good performance.