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Within the Bayesian paradigm, prediction of an unknown observable (in this case, the next difference of rates) is done via its posterior predictive distribution (posterior because it is conditional on the observed and predictive because it is a prediction for an observable), that is: where P(Y i, j |parameters) ~.
It is a prediction.
It is a prediction that such transitional species existed.
Called Predictalot (apps.yahoo.com/-vU1ZXa5g), it is a prediction market that lets users bet on any outcome.
It is a prediction the rest of the cable business should probably take seriously.
But the effect is limited because officials have made clear that it is a prediction, not a commitment.
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It's a prediction few would doubt, though not attached to that particular movie.
It's a prediction; you're not saying a thing does happen, just that it might, so it doesn't matter how unlikely it really is.
It was a prediction that elicited saucer-eyed expressions of shock from my listeners before I could explain the all-important will-win/should-win dichotomy to them.
But it was a prediction, not a statement of fact, and it's conceivable (barely) that Trump's people actually believed it.
Some issues, they write, are better addressed at the local or metropolitan level, and in a way it's a prediction about the future of cities – one that Francis thinks could benefit cities in the UK.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com