In this paper we study the convergence properties of the power series algorithm, which is a general method to determine (functions of) stationary distributions of Markov chains. W...
Random yield affects production decisions and performances of all parties in a supply chain. We study a simple supply chain with one supplier and one retailer where there is rando...
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Supply chain decisions are improved with access to global information. However, supply chain partners are frequently hesitant to provide full access to all the information within ...
— In this paper we discuss the consensus problem for a network of dynamic agents with undirected information flow and random switching topologies. The switching is determined by...