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Glen_b
Glen_b
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You would specify a prior for parameters. You haven't mentioned any!

You need to write some model for how the distribution of $Y$ relates to $X$, so your first step is to identify a distribution for $Y$ (it's 0-1, so there's an obvious first choice there) and then write a model for its parameters in terms of $X$.

Once you have that model, you need to think about priors on the parameters. Again, a first attempt should be relatively simple, then make it more complicated if you think it needs to be.

You would specify a prior for parameters. You haven't mentioned any!

You need to write some model for how the distribution of $Y$ relates to $X$, so your first step is to identify a distribution for $Y$ (it's 0-1, there's an obvious first choice) and then write a model for its parameters in terms of $X$.

Once you have that model, you need to think about priors on the parameters. Again, a first attempt should be relatively simple, then make it more complicated if you think it needs to be.

You would specify a prior for parameters. You haven't mentioned any!

You need to write some model for how the distribution of $Y$ relates to $X$, so your first step is to identify a distribution for $Y$ (it's 0-1, so there's an obvious first choice there) and then write a model for its parameters in terms of $X$.

Once you have that model, you need to think about priors on the parameters. Again, a first attempt should be relatively simple, then make it more complicated if you think it needs to be.

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Glen_b
Glen_b
  • 290.5k
  • 37
  • 652
  • 1.1k

You would specify a prior for parameters. You haven't mentioned any!

You need to write some model for how the distribution of $Y$ relates to $X$, so your first step is to identify a distribution for $Y$ (it's 0-1, there's an obvious first choice) and then write a model for its parameters in terms of $X$.

Once you have that model, you need to think about priors on the parameters. Again, a first attempt should be relatively simple, then make it more complicated if you think it needs to be.