For the 2-class detection problem (signal absent/present), the likelihood ratio is an ideal observer in that it minimizes Bayes risk for arbitrary costs and it maximizes AUC, the area under the ROC curve. The AUCoptimizing property makes it a valuable tool in imaging system optimization. If one considered a different task, namely, joint detection and localization of the signal, then it would be...

In this study, we build a causal map of the investment decision using causal mapping techniques by interviewing venture capitalists (VCs). We convert this map into a causal Bayes net using techniques we developed. Causal Bayes nets are especially suited for domains characterized by high degree of uncertainty. Bayes nets have been recently developed in artificial intelligence and used in medical...

longitudinal  study  plays  an  important  role  in  the  epidemiological,  clinical,  and  social  science studies. in these kinds of studies, every individual is observed frequently during a period of time. the statistical analysis of longitudinal presents special opportunities  and challenges. the repeated outcomes for one individual tend to be correlated among themselves also one of the pro...

The support vector machine methodology is a rapidly growing area of research in machine learning. A number of computational learning theoretical type results on the support vector machine have appeared in the machine learning literature. Typically the generalization error of the support vector machine is shown to be bounded by quantities that are related to the empirical margin of the training ...

The present paper considers modified extension of the exponential distribution with three parameters. The main properties of this new distribution is studied, with special emphasis on its median, mode and moments function and some characteristics related to reliability studies. For Modifiedextension exponential distribution (MEXED) have been obtained the Bayes Estimators of scale and shape para...

The present paper considers modified extension of the exponential distribution with three parameters. The main properties of this new distribution is studied, with special emphasis on its median, mode and moments function and some characteristics related to reliability studies. For Modifiedextension exponential distribution (MEXED) have been obtained the Bayes Estimators of scale and shape para...

The present paper considers modified extension of the exponential distribution with three parameters. The main properties of this new distribution is studied, with special emphasis on its median, mode and moments function and some characteristics related to reliability studies. For Modifiedextension exponential distribution (MEXED) have been obtained the Bayes Estimators of scale and shape para...

The present paper considers modified extension of the exponential distribution with three parameters. The main properties of this new distribution is studied, with special emphasis on its median, mode and moments function and some characteristics related to reliability studies. For Modifiedextension exponential distribution (MEXED) have been obtained the Bayes Estimators of scale and shape para...

Empirical Bayes modeling has a long and celebrated history in statistical theory and applications. After a brief review of the literature, we propose a new dynamic empirical Bayes modeling approach which provides flexible and computationally efficient methods for the analysis and prediction of longitudinal data from many individuals. This dynamic empirical Bayes approach pools the cross-section...