论文信息 - Design of Time-varying Stochastic Process with Dynamic Bayesian Networks

Design of Time-varying Stochastic Process with Dynamic Bayesian Networks

We present a dynamic Bayesian network (DBN) model of a generalized class of nonstationary birth-death processes. The model includes birth and death rate parameters that are randomly selected from a known discrete set of values. We present an on-line algorithm to obtain optimal estimates of the parameters. We provide a simulation of real-time characterization of load traffic estimation using our DBN approach.

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