This paper considers the problem of changing prices over time to maximize expected revenues in the presence of unknown demand distribution parameters. It provides and compares several methods that use the sequence of past prices and observed demands to set price in the current period. A Taylor...

We consider two-echelon supply chains with one supplier and two retailers. Retailers are censored newsvendors facing general parametric demand distributions involving unknown parameters. Using a Bayesian MDP formulation, we investigate how the supplier can make use of the combined information...