What is the difference between statistical and parametric Oracle?
A parametric oracle is different from a statistical one because of the way in which models are constructed and refined. Parametric oracles are predictive models that use predetermined or domain-specific parameters. The predicted outcomes can be created from estimations made based upon a small number of assumptions. To build and refine models, a statistical Oracle relies on statistical methods, including detailed analysis of the data and in-depth interpretations. Contrary to parametric approaches that use specific parameters, statistical oracle models are designed using more complex data (“Design and Implementation of Statistical Oracle”, 2021). Because parametric oracles have the potential to be automated, they can be more easy to use and understand, but are not as accurate as statistical. Statistical oracles, on the other hand, provide better results because they employ sophisticated algorithms to encode the data. Each approach aims to give the best results possible by extrapolating data from other sources and improving the performance of the system. References Parameter estimation for stochastic models. (2015). Applied Mathematics and Computation. 265C, 550-563. Implementation and design of a statistical Oracle. (2021). International Journal of Device and Computer Science Engineering 2(4): 14-19.
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