The Bayes Inference Engine

Conference · Sun Mar 31 23:00:00 EST 1996

OSTI ID:212525

Hanson, K M; Cunningham, G S

The authors are developing a computer application, called the Bayes Inference Engine, to provide the means to make inferences about models of physical reality within a Bayesian framework. The construction of complex nonlinear models is achieved by a fully object-oriented design. The models are represented by a data-flow diagram that may be manipulated by the analyst through a graphical programming environment. Maximum a posteriori solutions are achieved using a general, gradient-based optimization algorithm. The application incorporates a new technique of estimating and visualizing the uncertainties in specific aspects of the model.

• Research Organization: Los Alamos National Lab., NM (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 212525
• Report Number(s): LA-UR--96-1000; CONF-9507149--3; ON: DE96008111
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ALGORITHMS
DATA ANALYSIS
DATA COVARIANCES
EVALUATION
IMAGE PROCESSING
MATHEMATICAL MODELS
NONLINEAR PROBLEMS
OPTIMIZATION
PROBABILISTIC ESTIMATION
TOMOGRAPHY
USES