Logo

Bayesian Field Theory by J. C. Lemm

Large book cover: Bayesian Field Theory

Bayesian Field Theory
by

Publisher: arXiv.org
Number of pages: 200

Description:
Bayesian field theory denotes a nonparametric Bayesian approach for learning functions from observational data. Based on the principles of Bayesian statistics, a particular Bayesian field theory is defined by combining two models: a likelihood model, providing a probabilistic description of the measurement process, and a prior model, providing the information necessary to generalize from training to non-training data.

Home page url

Download or read it online for free here:
Download link
(1.7MB, PDF)

Similar books

Book cover: A defense of Columbo: A multilevel introduction to probabilistic reasoningA defense of Columbo: A multilevel introduction to probabilistic reasoning
by - arXiv
Triggered by a recent interesting article on the too frequent incorrect use of probabilistic evidence in courts, the author introduces the basic concepts of probabilistic inference with a toy model, and discusses several important issues.
(14118 views)
Book cover: Markov Chains and Mixing TimesMarkov Chains and Mixing Times
by - American Mathematical Society
An introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space.
(12217 views)
Book cover: Probability and Mathematical StatisticsProbability and Mathematical Statistics
by - University of Louisville
This book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate course.
(8436 views)
Book cover: Correlation and CausalityCorrelation and Causality
by - John Wiley & Sons Inc
This text is a general introduction to the topic of structural analysis. It presumes no previous acquaintance with causal analysis. It is general because it covers all the standard, as well as a few nonstandard, statistical procedures.
(14311 views)