Abstract: A method performed by a processing system displays a graph of a portion of a rolling horizon time series corresponding to a realization of a realization time series adjacent to a graph of the realization time series.

Abstract: A non-transitory machine-readable storage device comprising executable instructions that, when executed cause a processor to estimate a dependence vector (104), resulting in a first dependence estimate. The processor is further caused to estimate a sampling of unobserved demand (108) using the first dependence estimate to scale observed factors. The processor is further caused to output to a display device (110) information based on the first dependence estimate or the sampling.

Abstract: Techniques for generating optimized surgery schedules are described in various implementations. In one example implementation, a method that implements the techniques includes receiving a plurality of surgery scheduling requests for surgical procedures to be performed at a surgical facility having a plurality of operating rooms. The method also includes identifying resource constraints associated with the surgery scheduling requests, and identifying an optimization goal for the surgical facility, the optimization goal being defined using weighted optimization parameters. The method also includes generating a proposed surgery schedule for the surgical facility that includes sequencing and operating room assignments for each of the surgical procedures to be performed, the proposed surgery schedule satisfying the resource constraints and being optimized based on the optimization goal for the surgical facility.

Abstract: Methods, systems, and computer-readable and executable instructions are provided for determining a product price. Determining a product price can include determining an initial market attraction value, a market price sensitivity, and cost information for a product. Determining a product price can also include receiving a market constraint with respect to the product and pricing the product based on the initial market attraction value, the market price sensitivity, the cost information, and the market constraint.

Abstract: Parent node data is split into first and second child nodes based on a first partition variable to create a tree-based model. A first regression model for the first child node data relates the response variable and the predictor variable.

Abstract: A method performed by a processing system displays a graph of a portion of a rolling horizon time series corresponding to a realization of a realization time series adjacent to a graph of the realization time series.

Abstract: Each product of a number of products is assigned to one of a number of popularity tiers. The popularity tiers are ordered from a most popular tier to a least popular tier. The popularity tiers indicate how popular the products are expected to be among consumers. Each product is assigned to one of a number of margin tiers. The margin tiers are ordered from a highest margin tier to a lowest margin tier. The margin tiers indicate how much money a retailer makes in selling the products to the consumers. Which of the products to offer for sale by the retailer to the consumers are selected by applying decision rules to the products as have been assigned to the popularity tiers and to the margin tiers.

Abstract: A method (200) of eliciting customer preference from purchasing behavior surveys clusters (210) survey respondents into two or more clusters according to a data pattern identified in a dataset (330) of responses to survey questions that include a question regarding a product purchasing decision, and questions regarding respondent attributes (such as behavioral questions) and product attributes. Clustering (210) may be performed based on responses to behavioral questions that are not endogenously linked to any control variables. A model for each cluster, relating purchasing decision responses to product attribute responses, is produced (220), and each model is used to generate (230) projected purchasing decision responses for each cluster by replacing a value relating to a response to a selected product attribute question, which may be a control variable, with an alternative value. The dataset is transformed (240) by replacing purchasing decision responses with the projected responses.

Abstract: The present disclosure includes a system and method for designing and displaying advertisements. One or more targeted advertising methods include surveying potential customers to ascertain a price sensitivity and a likelihood of the potential customers purchasing products and/or observing venues, and clustering the potential customers according to product clusters based on the likelihood of purchasing products. Potential customers of each product cluster are clustered according to one or more venue clusters based on a likelihood of the potential customers of respective product clusters to observe the venues. An advertisement is designed for a venue corresponding to a particular venue cluster to include at least one product corresponding to a particular product cluster which is promotionally-priced based on the price sensitivity of potential customers of a particular venue cluster. An electronic display of the venue is modified to include the designed advertisement.

Abstract: A system and method for determining the optimum price that a service provider should charge to customers of at least a partially refundable extended-product warranty to optimize profits generated from providing such warranties. In one aspect of the present invention the customer may elect to purchase warranty coverage when the product is new and cancel warranty coverage at any time thereafter, which election is based in part on the customer's expected discounted net utility from his coverage decisions. In another aspect of the present invention, the customer is allowed to make dynamic repair or replacement decisions in each period based on the product's failure status or on other criteria. In one embodiment, the customer can be afforded warranty coverage flexibility in terms of his ability to turn coverage off whenever desired and to obtain a partial refund of the warranty premium.

Abstract: A system and method for determining the optimum price that a service provider should charge to customers of a periodic extended-product warranty to optimize profits generated from providing such warranties. In one aspect of the present invention the customer is allowed to elect or to cancel warranty coverage on a monthly basis which election is based in part on the customer's expected net utility from his coverage decisions. In one embodiment, the customer can be afforded complete warranty coverage flexibility in terms of his ability to turn coverage on and off whenever desired. In another aspect of the present invention the customer can be allowed to make dynamic repair or replacement decisions in each period based on the product's failure status or on other criteria.