This volume has its origin in the third AmWorkshop on Maximum-Entropy and Bayesian Methods in Applied Statistics, Am held at the University of Wyoming, August 1 to 4, 1983. It was anticipated that the proceedings of this workshop could not be prepared in a timely fashion, so most of the papers were not collected until a year or so ago. Because most of the papers are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents of this volume will be of lasting interest to the Bayesian community. The workshop was organized to bring together researchers from differ ent fields to examine critically maximum-entropy and Bayesian methods in science, engineering, medicine, economics, and other disciplines. Some of the papers were chosen specifically to kindle interest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayes ian method.This is the problem of seasonal adjustment, where an estimate of 0 is also needed, and our data processing algorithm will be quite different. ... The Phaseless Likelihood Function We shall consider the exact relations later when we generalize to many signals, but for the moment we make an approximation that we ... (11) where 10(x) = -ijo (ix) is a Bessel function and C(a, a) = N*X yey, costaquot;(t-s) atta#39;-sa#39;)] .
|Title||:||Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems|
|Author||:||C.R. Smith, G. Erickson|
|Publisher||:||Springer Science & Business Media - 2012-12-06|