empirical_bayes_without_prior_or_supervision_raphan.pdf
cns.nyu.edu · 7,726 words · saved by 1 readers
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ARTICLE Communicated by Konrad Paul Kording Least Squares Estimation Without Priors or Supervision Martin Raphan raphan@cims.nyu.edu Eero P. Simoncelli eero.simoncelli@nyu.edu Howard Hughes Medical Institute, Center for Neural Science, and Courant Institute of Mathematical Sciences New York University, New York, NY 10003, U.S.A. Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true val- ues) or a prior probability model for the true values. Here, we consider the problem…
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