- #1

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Wondering if there is any priorities one method has versus the other one and are there any specific cases where to use one vs.other?

regards

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- Thread starter Mark J.
- Start date

- #1

- 81

- 0

Wondering if there is any priorities one method has versus the other one and are there any specific cases where to use one vs.other?

regards

- #2

chiro

Science Advisor

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I'm not exactly sure what you mean specifically. The MLE is part of a massive framework used in point and interval estimation for statistical inference, but the bayesian stuff is a framework dealing with generalizing probabilistic situations where parameters of distributions are not constant (which leads to all kinds of other results both probabilistically and statistically).

Do you have a specific example of Bayesian Probability or Inference that you are referring to?

For example if you are talking about inference, are you talking about estimating parameters with a specific posterior and prior? Specific posterior and general prior? General posteriors and priors?

- #3

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The priority of MAP vs ML depends largely on whether one is already of a Bayesianist or frequentist mindset. MaximumWondering if there is any priorities one method has versus the other one and are there any specific cases where to use one vs.other?

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