Maximum a Posteriori Estimation

Maximum a Posteriori Estimation

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Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to Fisher's method of maximum likelihood (ML), but employs an augmented optimization objective which incorporates a prior distribution over the quantity one wants to estimate. MAP estimation can therefore be seen as a regularization of ML estimation.show more

Product details

  • Paperback | 80 pages
  • 152 x 229 x 5mm | 127g
  • Fidel
  • United States
  • English
  • 6135943057
  • 9786135943054