Dynamic Bayesian network

A dynamic Bayesian network is a Bayesian network that represents sequences of variables. These sequences are often time-series (for example, in speech recognition) or sequences of symbols (for example, protein sequences). The hidden Markov model can be considered as a simple dynamic Bayesian network.

See also

Recursive Bayesian estimation

References

• Learning Dynamic Bayesian Networks (1997), Zoubin Ghahramani, Lecture Notes In Computer Science, Vol. 1387, 168-197

• [1] Friedman, N., Murphy, K., and Russell, S. (1998). Learning the structure of dynamic probabilistic networks. In UAI’98, pages 139–147. Morgan Kaufmann.

Software

• [2] The BNT toolbox by Kevin Murphy

• [3] DBmcmc - Inferring Dynamic Bayesian Networks with MCMC

• [4] GlobalMIT Matlab toolbox - Modeling gene regulatory network via global optimization of dynamic bayesian network

This statistics-related article is a stub. You can help Wikipedia by expanding it.v · Categories: Statistics stubs Bayesian networks Wikimedia Foundation. 2010. Игры ⚽ Нужен реферат? Mütter Museum USS Hendrick Hudson (1859) Look at other dictionaries: Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example …   Wikipedia Network dynamics — is the study of networks that change in time. These networks could be from the fields of biology, sociology, economics, computer science, graph theory etc. For a dynamical systems approach to network dynamics, see sequential dynamical system. See …   Wikipedia Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia Biological network inference — Many types of biological networks exist. Few such networks are known in anything approaching their complete structure, even in the simplest bacteria. Still less is known on the parameters governing the behavior of such networks over time, how the …   Wikipedia Dynamic stochastic general equilibrium — modeling (abbreviated DSGE or sometimes SDGE or DGE) is a branch of applied general equilibrium theory that is influential in contemporary macroeconomics. The DSGE methodology attempts to explain aggregate economic phenomena, such as economic… …   Wikipedia Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …   Wikipedia Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …   Wikipedia DBN — dynamic Bayesian network …   Medical dictionary DBN — • dynamic Bayesian network …   Dictionary of medical acronyms & abbreviations List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …   Wikipedia 18+ © Academic, 2000-2025 Contact us: Technical Support, Advertising Dictionaries export, created on PHP, Joomla, Drupal, WordPress, MODx. Mark and share Search through all dictionaries Translate… Search Internet Share the article and excerpts Direct link … Do a right-click on the link above and select “Copy Link”