To enhance Patient’s safety, we need effective methods for risk management. This work aims to propose an integrated approach to risk management for a hospital system. To improve patient’s safety, we should develop flexible methods where different aspects of risk and type of information are taken into consideration. This paper proposes a fuzzy Bayesian network to model and analyze risk in the op...

In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model has been introduced to analyze such observations. A beta distribution represents a flexible density family on (0, 1) interval that covers symm...

genetic parameters direct and maternal in fars native flows using the bayesian statistical approach, was estimation with consider body weight at a day of age (bw1), body weight at eight weeks of age (bw8), body weight at 12 weeks of age (bw12), age at sexual maturity (asm), egg number (egp) and mean egg weight during 28th, 30th and 32nd week ages (av283032) fars native flows. genetic parameters...

This paper focused on developing a model to study the effect of sukuk issuance on the inflation rate in top sukuk issuing Islamic economies at 2014‎. ‎For this purpose‎, ‎as the available sample size is small‎, ‎a Bayesian approach to regression model is used which contains key supply and demand side factors in addition to the outstanding sukuk volume as potential determinants of inflation rate...

We develop a closed form asymptotic for­ mula to compute the marginal likelihood of data given a naive Bayesian network model with two hidden states and binary features. This formula deviates from the standard BIC score. Our work provides a concrete example that the BIC score is generally not valid for statistical models that belong to a stratified exponential family. This stands in contrast to...

In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand movement generation, during the drawing task. Starting from some background assumptions suggested by eye-tracking human subjects, we formulate a Bayesian model of drawing activity. The resulting graphical model is shaped in the...