With larger data at their disposal, scientists are emboldened to tackle complex questions that require sophisticated statistical models. It is not unusual for the latter have likelihood functions elude analytical formulations. Even under such adversity, when one can simulate from sampling distribution, Bayesian analysis be conducted using approximate methods as Approximate Computation (ABC) or ...

The most widely accepted models of diagnostic reasoning are all phrased in terms of the logical consequence relations. In work in recent years, Schaerf and Cadoli have proposed e cient approximations of the classical consequence relation. The central idea of this paper is to parameterise the notion of diagnosis over di erent approximations of the consequence relation. This yields a number of di...

hybrid system is a dynamic system that exhibits both continuous and discrete dynamic behavior‎. ‎the hybrid differential equations have a wide range of applications in science and engineering‎. ‎the hybrid systems are devoted to modeling‎, ‎design‎, ‎and validation of interactive systems of computer programs and continuous systems‎. ‎hybrid fuzzy differential equations (hfdes) is considered by ...