Abstract:
Methods and associated apparatus comprise, among other features, organizing previously acquired auction data into a plurality of sub-samples, each sub-sample comprising bid data associated with auctions having a common number of bidders, applying an inverse bid function to at least two sub-samples, pooling results from applying the inverse bid function to form a first pool, applying a direct bid function on the first pool to generate sample bids, matching bids from at least one sub-sample to the sample bids, and pooling results from the matching with the first pool to form a second pool.
Abstract:
A method and associated system comprise obtaining historical auction data, determining, from the historical auction data, a first parameter that is a function of a joint bid distribution and a density function related to the joint bid distribution, selecting a bidder, obtaining a value distribution for the selected bidder, and solving an equation. The equation may include the first parameter and the selected bidder's value distribution, and not the value distribution of other bidders. The equation computes a bid value associated with the selected bidder for a given bid.
Abstract:
A computer-implemented method for estimating bidder valuation. A probability that a bid of a first bidder in an auction is not greater than a first value is determined, wherein a second bidder has a valuation in the auction equal to a second value. A rate at which the probability changes is determined. The ratio of the probability to the rate of change is determined. The ratio is added to the rival bid to determine an estimate of the first bidder's valuation.
Abstract:
A computer-implemented method for determining a bid for a auction. A valuation for the auction, a risk preference, and a rate of change of the risk preference are received. A joint distribution is determined based on historical auction information and at least one updated valuation for an historical auction. A density of the joint distribution is determined. The bid is determined based on the risk preference, the rate of change of the risk preference, the valuation, the joint distribution, and the density of the joint distribution.
Abstract:
Methods and associated apparatus comprise, among other features, organizing previously acquired auction data into a plurality of sub-samples, each sub-sample comprising bid data associated with auctions having a common number of bidders, applying an inverse bid function to at least two sub-samples, pooling results from applying the inverse bid function to form a first pool, applying a direct bid function on the first pool to generate sample bids, matching bids from at least one sub-sample to the sample bids, and pooling results from the matching with the first pool to form a second pool.
Abstract:
A method and associated system comprise obtaining historical auction data, determining, from the historical auction data, a first parameter that is a function of a joint bid distribution and a density function related to the joint bid distribution, selecting a bidder, obtaining a value distribution for the selected bidder, and solving an equation. The equation may include the first parameter and the selected bidder's value distribution, and not the value distribution of other bidders. The equation computes a bid value associated with the selected bidder for a given bid.
Abstract:
Systems, methods, and computer-readable and executable instructions are provided for selecting data paths. Selecting data paths can include creating a support data tree structure from a number of data trees within a data set. In addition, selecting data paths can include removing a number of paths from the support data tree based on a number of evaluations of each of a number of nodes within the support data tree. Furthermore, selecting data paths can include selecting a desired set of paths based on a desired number of removed paths and an associated number of evaluations of the support data tree.
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:
An initial external bid of an enterprise that is based on initial component bids of plural entities is received by a tool. The tool receives margin values representing margins acceptable to the entities. A new external bid is received that is different from the initial bid, and adjusted component bids of the plural entities are generated by the tool according to the new external bid and the margins of the entities.
Abstract:
An initial external bid of an enterprise that is based on initial component bids of plural entities is received by a tool. The tool receives margin values representing margins acceptable to the entities. A new external bid is received that is different from the initial bid, and adjusted component bids of the plural entities are generated by the tool according to the new external bid and the margins of the entities.