The present paper is motivated by the network revenue management problems that occur in online display advertising. In this setting, each impression (demand) type corresponds to a vector of d user features; consequently, the overall number of demand types that need to be forecast is exponential in d. Our main contribution is to show that such high dimensional demand spaces can still be estimate...

In this paper exponential distribution is implemented as a demand distribution in newsvendor model with two different and conflicting goals. The first goal is the standard objective of maximization of the expected profit. The second one is to maximize the probability of exceeding the expected profit, called survival probability. Using exponential distribution as the demand distribution allows u...

In this paper, we study a forecast method for demand quantities in the high-technology industry. We formulate and test a parameter-driven scheme to generate forecasts. We forecast demand quantities for several future periods using the formula F = aX + (1a)Y where a is a real number from [0,1] to be estimated, X is a simple exponential smoothing forecast based on historical data, and Y are the f...

“Infrastructure with agency” embraces both the physical assets for extraction, production, distribution, and storage of utilities, and infrastructure use for the purpose of trade, business and societal well-being. The micro-level interactions of infrastructure use lead to macro-level structures and patterns which satisfy demand and determine the value of infrastructure to users. Interactions ge...

In the area of dynamic revenue management, optimal pricing policies are typically computed on the basis of an underlying demand rate model. From the perspective of applications, this approach implicitly assumes that the model is an accurate representation of the real world demand process and that the parameters characterizing this model can be accurately calibrated using data. In many situation...

Tourism forecasting has garnered considerable interest. However, integrating tourism with volatility is significantly less typical. This study investigates the performance of both single models and their combinations for demand. The seasonal autoregressive integrated moving average (SARIMA) model used to construct mean equation, three models, namely generalized conditional heteroscedasticity (G...

Croston (1972) [2] presented an idea and method to separate ordinary exponential smoothing in two parts;In the time between demand, or withdrawals, and demand size. The idea with the modification in Levén and Segerstedt (2004) [3] is that time between demand and demand size is not independent. But this modification has shown poor results. Therefore Wallström and Segerstedt (2010) [8] suggest an...

Given a set of items and a submodular set-function f that determines the value of every subset of items, a demand query assigns prices to the items, and the desired answer is a set S of items that maximizes the pro t, namely, the value of S minus its price. The use of demand queries is well motivated in the context of combinatorial auctions. However, answering a demand query (even approximately...