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Daniel Roy's user avatar
Daniel Roy's user avatar
Daniel Roy
  • Member for 11 years, 1 month
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Does the truncated Hausdorff moment problem admit absolutely continuous solutions?
I will follow up your references. Thanks for suggesting this interesting alternative.
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Does the truncated Hausdorff moment problem admit absolutely continuous solutions?
I am not an expert in spectral theory, but my concerns are even more fundamental. Your answer starts "Yes,..." but I'm not sure what question you're answering, especially given my same confusion as Pinelis's. Could you state a theorem? I think that would make it much clearer to me what you are guaranteeing. Finally, given Pinelis's proof of the necessity and sufficiency of being in the interior, I am still confused by the claim of it being a "weaker" condition.
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Does the truncated Hausdorff moment problem admit absolutely continuous solutions?
So how does the measure $\mu$ such that $\mu\{\frac 1 2 \} = 1$ fit into this?
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Does the truncated Hausdorff moment problem admit absolutely continuous solutions?
So far, looks good. Need a bit more time to make sure I understand each step.
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Does the truncated Hausdorff moment problem admit absolutely continuous solutions?
I don't see where your proof relies on the hypothesis that the moment sequence lies in the interior of $\mathcal M_k$?
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Conditional expectation with respect to random closed sets
Or "Hess, C. (1999). Conditional expectation and martingales of random sets. Pattern Recognition 32, 1543–1567."
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Conditional expectation with respect to random closed sets
Perhaps "Graf, S. (1980). A Radon-Nikodym theorem for capacities. J. Reine Angew. Math. 320, 192–214." might be a good launching off point.
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Concentration rates for the posterior distribution
You might look into the work by Van der Vaart.
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Conditional probabilities are measurable functions - when are they continuous?
No, they are in a tech report. Feel free to contact me.