Add to ORKGThe Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define models of radiographic measurement systems and geometric models of experimental objects so that the geometric properties of the objects being radiographed can be inferred from a limited amount of data. The BIE also allows a user to investigate confidence intervals on the estimated object geometry and compare the likelihoods of competing hypotheses
Probabilistic Bayesian methods enable combination of information from various sources. The Bayes the...
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy...
Bayes’ formula is a fundamental statistical method for inference judgments in uncertain situations u...
The Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define...
The authors have developed a computer application, called the Bayes Inference Engine, to enable one ...
Abstract. We have developed a computer application, called the Bayes Inference Engine, to enable us ...
The authors are developing a computer application, called the Bayes Inference Engine, to provide the...
X-ray images are often used to make inferences about physical phenomena and the entities about which...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This article describes basic concepts of statistical estimation based on experimental data, includin...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
Bayes' theorem is a vehicle for incorporating prior knowledge in updating the degree of belief ...
The pervasive presence of noise corrupts the data and their interpretation implies a solution of an ...
Probabilistic Bayesian methods enable combination of information from various sources. The Bayes the...
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy...
Bayes’ formula is a fundamental statistical method for inference judgments in uncertain situations u...
The Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define...
The authors have developed a computer application, called the Bayes Inference Engine, to enable one ...
Abstract. We have developed a computer application, called the Bayes Inference Engine, to enable us ...
The authors are developing a computer application, called the Bayes Inference Engine, to provide the...
X-ray images are often used to make inferences about physical phenomena and the entities about which...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show rea...
This article describes basic concepts of statistical estimation based on experimental data, includin...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It ge...
Bayes' theorem is a vehicle for incorporating prior knowledge in updating the degree of belief ...
The pervasive presence of noise corrupts the data and their interpretation implies a solution of an ...
Probabilistic Bayesian methods enable combination of information from various sources. The Bayes the...
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy...
Bayes’ formula is a fundamental statistical method for inference judgments in uncertain situations u...