I read many papers for Bayesian Learning, and I can see that in every probabilistic formula they use a logarithm of a distribution p(x) (i.e. log(p(x))) or the negative logarithm of p(x) (i.e. -log((p(x))). Why they do not just use the distribution p(x) ?
2026-03-27 16:20:55.1774628455
Why is log(p(x)) important in mathematics?
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