Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the problem of testing an expert who makes probabilistic forecasts about the outcomes of a stochastic process. I show that, as long as uninformed experts do not learn the correct forecasts too quickly, a likelihood test can distinguish informed from uninformed experts with high prior probability. The test rejects informed experts on some data-generating processes; hover, the set of such processes is topologically small. These results contrast sharply with many negative results in the literature.
['Colin Stewart']
I am writing a research paper on a idea Nonmanipulable Bayesian testing
[{"from": "human", "value": "I am writing a research paper on a idea Nonmanipulable Bayesian testing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the problem of testing an expert who makes probabilistic forecasts about the outcomes of a stochastic process. I show that, as long as uninformed experts do not learn the correct forecasts too quickly, a likelihood test can distinguish informed from uninformed experts with high prior probability. The test rejects informed experts on some data-generating processes; hover, the set of such processes is topologically small. These results contrast sharply with many negative results in the literature."}]