Several activity-based models are now becoming operational and are entering the stage of application in transport planning. Some of these models use a set of decision trees to support its decision making instead of using principles of utility maximization. However, it is believed that the structure of decision trees can sometimes be very instable and sensitive of highly correlated predictors. T...

In this paper, we present a model and an algorithm for the calculation of the optimal control limit, average cost, sample size, and the sampling interval for an optimal Bayesian chart to control the proportion of defective items produced using a semi-Markov decision process approach. Traditional p-chart has been widely used for controlling the proportion of defectives in various kinds of produc...

We employed a multilevel hierarchical Bayesian model in the task of exploiting relevant interactions among high cardinality attributes in a classification problem without overfitting. With this model, we calculate posterior class probabilities for a pattern W combining the observations of W in the training set with prior class probabilities that are obtained recursively from the observations of...

The purpose of this study was to extend Glas and Vos’s (1998) Bayesian procedure to the 3PL IRT model by using the MCMC method. In the context of fixedlength mastery tests, the Bayesian decision-theoretic procedure was compared with two conventional procedures (conventionalProportion Correct and conventionalEAP) across different simulation conditions. Several simulation conditions were investig...

The improvement of medical care quality is a significant interest for the future years. The fight against nosocomial infections (NI) in the intensive care units (ICU) is a good example. We will focus on a set of observations which reflect the dynamic aspect of the decision, result of the application of a Medical Decision Support System (MDSS). This system has to make dynamic decision on tempora...

uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....

in this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. then a common general forward modeling for them is given and the corresponding inversion problem is presented. then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a baye...

objectives : schizophrenia patients often experience relapses once and even more with no limit on number of relapses. the time among relapses are rarely considered in studies. the aim of this study was to identify some risk factors of time to elapses in schizophrenic patients with recurrent events model in survival analysis. methods : in a retrospective longitudinal study, the medical records o...