New results in the asymptotic theory of Markov processes are applied to analysis of the long-run behaviour exhibited by …

Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlo method for Bayesian analysis of models with ill …

Through the appearance of analysis models was possible to simplify the graphical representation of the various …

assess the stochastic stability of their absorbing states. In all cases, the analysis conducted using the theory of Markov …The aim of this paper is to assist researchers in understanding the dynamics of simulation models that have been … many computer models in the social simulation literature can be usefully represented as time-homogeneous Markov chains …

Computation and Simulation have always played a role in economics – whether it be pure economic theory or any variant … theory seems to go hand in hand with advances in the theory and practice of computing, which is, in turn, a catalyst for the …

reproduce the real random variable. Monte Carlo simulation is one of the best methods of risk analysis. …Monte Carlo simulation is used with predilection when multidimensional problems are discussed (eg, the outcome depends … obtain accurate results, it is essential that the random variables generated during the simulation experiments to faithfully …

service paid by a previous company, c) simulation of a cost of the service performed by the self-employed, d) estimation of …

, economists avoid - even positively abhor - reliance on simulation. We disagree with the mildly qualified affirmative answer given … descriptions, definitions and analysis. These are pointed out, and corrected; for, if not, the issues they raise may be submerged …

systems, we suggest a new approach to service system analysis based on model composition to design and evaluate stakeholder … London Borough of Sutton, we show how service system analysis — analyzing value constellations to find opportunities for …