A seller sets up an advertising policy so as to maximize a flow of discounted utility over time in a scenario characterized by two essential issues. First, the seller is ignorant from the outset of the prospective customers' willingness to buy and runs a Bayesian learning process in parallel to...

Oil price prediction has usually proved to be an intractable task due to the intrinsic complexity of oil market mechanism. In addition, the recent oil shock and its consequences relaunch the debate on understanding the behaviour underlying the expected oil prices. Combining the dynamic...

In behavioral experiments, carefully choosing the stimuli is critical for success. Recently, several "adaptive" Bayesian methods gained popularity by proposing to optimally select the stimulus in each trial based on the results of the preceding trials. However, current methods are...

Research on learning-by-doing has typically been restricted to cases where estimation and control can be treated separately. Recent work has provided convergence results for more general learning problems where experimentation is an important aspect of optimal control. However, the associated...