In this paper we apply active learning algorithms for dynamic pricing in a prominent e-commerce website. Dynamic pricing involves changing the price of items on a regular basis, and uses the feedback from the pricing decisions to update prices of the items. Most popular approaches to dynamic pricing use a passive learning approach, where the algorithm uses historical data to learn various param...

By employing dynamic pricing, the act of changing prices over time within a marketplace, sellers have the potential to increase their revenue by selling goods to buyers “at the right time, at the right price.” As dynamic pricing systems become necessary as a competitive maneuver and as market mechanisms become more complex, there is a greater need for pricing agents to be used, and also a great...

For improving the current pricing mode of medical services, the present study seeks to explore the pricing elements and processes, and establish the dynamic pricing model of involving both the government and hospitals. The pricing process and mathematical model show the logical relationships between medical prices and pricing elements. The causal relationship model reveals how to accomplish dyn...

We empirically investigate predictions from alternative intermediary asset pricing theories. The theories distinguish themselves in their use of intermediary equity or leverage as pricing factors or forecasting variables. We find strong support for a parsimonious dynamic pricing model based on broker-dealer leverage as the return forecasting variable and shocks to broker-dealer leverage as a cr...

This paper investigates an optimal sequencing and dynamic pricing problem for a two-class queueing system. Using a Markov Decision Process based model, we obtain structural characterizations of optimal policies. In particular, it is shown that the optimal pricing policy depends on the entire queue length vector but some monotonicity results prevail as the composition of this vector changes. A n...

in this paper, the pricing of a european call option on the underlying asset is performed by using a monte carlo method, one of the powerful simulation methods, where the price development of the asset is simulated and value of the claim is computed in terms of an expected value. the proposed approach, applied in monte carlo simulation, is based on the black-scholes equation which generally def...

We consider dynamic pricing and replenishment decisions for a production/inventory system modeled by a make-to-stock queue. The potential customer demand is generated by a MarkovModulated (environment-dependent) Poisson process and the actual demand depends on the price offered at the time of the transaction. Using a Markov Decision Process framework, we obtain results on the structure of the o...

By employing dynamic pricing, sellers have the potential to increase their revenue by selling their goods at prices customized to the buyers’ demand, the market environment, and the seller’s supply at the moment of the transaction. As dynamic pricing becomes a necessary competitive maneuver, and as market mechanisms become more complex, there is a growing need for software agents to be used to ...

Traditionally, network operators have only used simple flat-rate unlimited data plans to vie for customers. But today, with the popularity of mobile devices and exponential growth of apps, videos, and clouds, service providers are gradually moving towards more sophisticated pricing schemes, including dynamic pricing. This decade will therefore likely witness a major shift in network pricing sch...