a preview of things to come

I don’t post here very often, but I thought an audience might like to know what things I am working on.

I have a paper in the works regarding the “error in variables” problem, solved from a Bayesian perspective. This is where predictor variable estimates themselves have errors in their statement, as like response variables typically do.

I have a paper in the works regarding applying Professor James Spall’s SPSA to the problem of estimating the mode of a Bayesian posterior.

I also have an outline of a paper which addresses the problem of estimating a time-dependent event density given only actual reported events and a collection of reports of events at specified time stamps.

About hypergeometric

See http://www.linkedin.com/in/deepdevelopment/ and https://667-per-cm.net/about
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2 Responses to a preview of things to come

  1. Regarding the errors-in-variables problem, there’s a highly cited paper in astronomy ( http://adsabs.harvard.edu/abs/2007ApJ…665.1489K : free version on arxiv) presenting a reasonable semi-Bayesian solution, though I find it a bit unsatisfactory. Basically, they use something like an EM algorithm to fit a Normal mixture model representing the underlying distribution of the observed predictor variable(s), and then hold this fixed for the subsequent Bayesian linear regression step. (I would prefer that the parameters of the mixture model, including the number of components, were given a fully Bayesian treatment.)

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