Sensitivity analysis in multilinear probabilistic models

Sensitivity Analysis of Probabilistic Graphical Models

of the Dissertation Sensitivity Analysis of Probabilistic Graphical Models

ANN-DEA Integrated Approach for Sensitivity Analysis in Efficiency Models

Here, we examine the capability of artificial neural networks (ANNs) in sensitivity analysis of the parameters of efficiency analysis model, namely data envelopment analysis (DEA). We are mainly interested to observe the required change of a group of parameters when another group goes under a managerial change, maintaining the score of the efficiency. In other words, this methodology provides a...

Machine Learning for Sensitivity Analysis of Probabilistic Environmental Models

Probabilistic sensitivity analysis in health economics.

Health economic evaluations have recently become an important part of the clinical and medical research process and have built upon more advanced statistical decision-theoretic foundations. In some contexts, it is officially required that uncertainty about both parameters and observable variables be properly taken into account, increasingly often by means of Bayesian methods. Among these, proba...

Probabilistic Models in Cluster Analysis

This paper discusses cluster analysis in a probabilistic and inferential framework as opposed to more exploratory, heuristic or algorithmic approaches. It presents a broad survey on probabilistic models for partitiontype, hierarchical and tree-like clustering structures and points to the relevant literature. It is shown how suitable clustering criteria or grouping methods may be derived from th...