Bayesian Statistics

(redirected from Bayesian inference)
Also found in: Medical, Encyclopedia, Wikipedia.

Bayesian Statistics

A statistical system using probabilities based on assumptions about unavailable information. As that information is gathered and disseminated, one corrects or replaces the assumptions and the statistical analysis alters its results accordingly.
References in periodicals archive ?
Data analysis will include measures of directed (functional and effective) connectivity and en-/decoding approaches using a (predictive coding) Bayesian inference framework.
Chang is an Institute of Electrical and Electronics Engineers Fellow, a position he earned for his contribution on sensor data fusion and Bayesian inference.
We obtained phylodynamic and phylogeographic estimates using Bayesian inference as implemented in BEAST v1.
BNs address the problems of storing and representing the joint probability distribution of a large number of random variables and doing Bayesian inference with these variables.
He said techniques such as the Bayesian inference can be used to add weight to hunches and direction to decisions.
The text is divided into five parts, with the first part establishing fundamentals of Bayesian inference.
The focus here is on multiple target tracking as a Bayesian inference problem, with theories of single and multiple target tracking and ratio detection accompanying discussions of particle filters.
TABLE A4 Summary of the Bayesian Inference for the Trivariate Gaussian Copula Model Personal Auto Commercial Auto [[beta].
Apart from model information and data information, Bayesian inference also utilizes the distribution information of unknown parameters (Markvardsen 2004).
The last two chapters involve three case studies (two business, one pharmaceutical) and advanced topics, such as Generalized Linear Models, Variance Component Analysis and Bayesian inference.
Through Bayesian inference, the system can locate and find out the most possible fault component service for inspection.
Full browser ?