Maximum likelihood is indeed 0 or Tails, assuming we start from a uniform prior. 1⁄3 is the expected value. Ask yourself this, after seeing a tail what should you guess for the next toss result to have maximum likelihood of being correct?
If halfers reasoning applies to both Bayesian and Frequentist while SIA is only good in Bayesian isn’t it quite alarming to say the least?
The 0 isn’t a prediction of the next coin toss, it’s an unbiased estimate of the coin parameter which is guaranteed to lie between 1⁄3 and 2⁄3. That’s the problem! Depending on the randomness in the sample, an unbiased estimate of unknown parameter X could be smaller or larger than literally all possible values of X. Since in the post you use unbiased estimates and expect them to behave reasonably, I thought this example would be relevant.
Hopefully that makes it clearer why Bayesians wouldn’t agree that frequentism+halfism is coherent. They think frequentism is incoherent enough on its own :-)
OK, I misunderstood. I interpreted the coin is biased 1⁄3 to 2⁄3 but we don’t know which side it favours. If we start from uniform (1/2 to H and 1⁄2 to T), then the maximum likelihood is Tails.
Unless I misunderstood again, you mean there is a coin we want to guess its natural chance (forgive me if I’m misusing terms here). We do know its chance is bounded between 1⁄3 and 2⁄3. In this case yes, the statistical estimate is 0 while the maximum likelihood is 1⁄3. However it is obviously due to the use of a informed prior (that we know it is between 1⁄3 and 2⁄3). Hardly a surprise.
Also I want to point out in your previous example you said SIA+frequentist never had any strong defenders. That is not true. Until now in literatures thirding are generally considered to be a better fit for frequentist than halving. Because long run frequency of Tail awakening is twice as many as Head awakenings. Such arguments are used by published academics including Elga. Therefore I would consider my attack from the frequentist angle has some value.
Interesting. I guess the right question is, if you insist on a frequentist argument, how simple can you make it? Like I said, I don’t expect things like unbiased estimates to behave intuitively. Can you make the argument about long run frequencies only? That would go a long way in convincing me that you found a genuine contradiction.
Yes, I have given a long run frequency argument for halving in part I. Sadly that part have not gotten any attention. My entire argument is about the importance of perspective disagreement in SBP. This counter argument is actually the less important part.
Maximum likelihood is indeed 0 or Tails, assuming we start from a uniform prior. 1⁄3 is the expected value. Ask yourself this, after seeing a tail what should you guess for the next toss result to have maximum likelihood of being correct?
If halfers reasoning applies to both Bayesian and Frequentist while SIA is only good in Bayesian isn’t it quite alarming to say the least?
The 0 isn’t a prediction of the next coin toss, it’s an unbiased estimate of the coin parameter which is guaranteed to lie between 1⁄3 and 2⁄3. That’s the problem! Depending on the randomness in the sample, an unbiased estimate of unknown parameter X could be smaller or larger than literally all possible values of X. Since in the post you use unbiased estimates and expect them to behave reasonably, I thought this example would be relevant.
Hopefully that makes it clearer why Bayesians wouldn’t agree that frequentism+halfism is coherent. They think frequentism is incoherent enough on its own :-)
OK, I misunderstood. I interpreted the coin is biased 1⁄3 to 2⁄3 but we don’t know which side it favours. If we start from uniform (1/2 to H and 1⁄2 to T), then the maximum likelihood is Tails.
Unless I misunderstood again, you mean there is a coin we want to guess its natural chance (forgive me if I’m misusing terms here). We do know its chance is bounded between 1⁄3 and 2⁄3. In this case yes, the statistical estimate is 0 while the maximum likelihood is 1⁄3. However it is obviously due to the use of a informed prior (that we know it is between 1⁄3 and 2⁄3). Hardly a surprise.
Also I want to point out in your previous example you said SIA+frequentist never had any strong defenders. That is not true. Until now in literatures thirding are generally considered to be a better fit for frequentist than halving. Because long run frequency of Tail awakening is twice as many as Head awakenings. Such arguments are used by published academics including Elga. Therefore I would consider my attack from the frequentist angle has some value.
Interesting. I guess the right question is, if you insist on a frequentist argument, how simple can you make it? Like I said, I don’t expect things like unbiased estimates to behave intuitively. Can you make the argument about long run frequencies only? That would go a long way in convincing me that you found a genuine contradiction.
Yes, I have given a long run frequency argument for halving in part I. Sadly that part have not gotten any attention. My entire argument is about the importance of perspective disagreement in SBP. This counter argument is actually the less important part.