Hello. I am an older PhD student in a biosciences program. My interest
though is in biostatics and machine learning (especially Markov Chain Monte
Carlo and Gaussian Processes regression). My education path has not been a
conventional one, and much of what I know of statistics I have taught
myself. I have long wished for a mentor that would be willing to take the
time to step me though various published papers so that I might understand
them in their details. As it is now, when I read a statical paper I tend to
catch only the main points and miss the fine ones. For example, I was
recently reading the paper
Delyon B., Arielle M., and Moulines E. , ``Convergence of a stochastic
approximation version of the EM algorithm,' ' The Annals of Stat., vol. 27,
no. 1, pp 94--128, 1999
but was only able to assimilate the primary points. It would be wonderful
to have a mentor to talk with to help me understand papers such as this in
depth. Are there any (retired?) statisticians/mathematicians out there who
have time and might be willing to offer help? I might be wishing on a star
here, but thought it was worth a try.
John
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