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Kevinjoshuapedralgo
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it is a sampling technique in which sample from a larger population are chosen using a method based on the theory of probability​

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Hcanoy07go

Answer:

Probability sampling is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability. For a participant to be considered as a probability sample, he/she must be selected using a random selection.

Explanation:

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Nicoledesireelasolago
In Bayesian inference, we can’t compute values of the posterior distribution, but we can compute values of the joint, which is proportional to the posterior distribution, so we’re fine.

If there’s a method for approximating values of the PDF, that can also be incorporated into a sampler.

I think the most I can conclude, possibly too conservatively, is the PDF being analytically inexpressible means that the CDF is as well, so you won’t be able to use an inverse-CDF sampler.

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