ESTIMATION OF UNOBSERVED DEMAND
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.
1 . A non -transitory storage device comprising computer-readable instructions that, when executed, cause a processor to:
estimate a dependence vector ( 104 ), resulting in a first dependence estimate;
estimate a sampling of unobserved demand ( 108 ) using the first dependence estimate to scale observed factors; and
output to a display device information ( 110 ) based on the first dependence estimate or the sampling.
2 . The device of claim 1 , wherein when executed, the instruction cause the processor to:
estimate the dependence vector using the sampling and the observed factors, resulting in a second dependence estimate.
3 . The device of claim 2 , wherein when executed, the instructions cause the processor to:
iterate estimating the dependence vector unto a threshold has been reached.
4 . The device of claim 1 , wherein when executed, the instructions cause the processor to estimate a second sampling of unobserved demand using the latest dependence estimate to scale the observed factors.
5 . The device of claim 1 , wherein estimating the sampling results in an error vector for each sample.
6 . The device of claim 5 , wherein error vectors are averaged resulting in an average error estimate.
7 . A method, comprising,
determining, by a processor, a dependence vector ( 104 ), resulting in a first dependence estimate;
determining, by the processor, a sampling of unobserved demand ( 108 ) using the first dependence estimate to scale observed factors; and
outputting, by the processor, to a display device ( 110 ) the sampling of unobserved demand.
8 . The method of claim 7 , further comprising:
determining, by the processor, the dependence vector using the sampling and the observed factors, resulting in a second dependence estimate.
9 . The method of claim 8 , further comprising determining, by the processor, a second sampling of unobserved demand using the averaged dependence estimate to scale the observed factors.
10 . The method of claim 7 , wherein the first dependence estimate is based on supply.
11 . The method of claim 7 , wherein determining the sampling of unobserved demand comprises determining, by the processor, the sampling over a period when demand exceeds supply.
12 . The method of claim 7 , wherein determining the sampling of unobserved demand comprises determining, by the processor, the sampling over a period when demand is inelastic.
13 . A device comprising:
a processor;
a memory coupled to the processor;
the processor to:
calculate a dependence vector ( 104 ), resulting in a first dependence estimate; and
calculate a sampling of unobserved demand ( 108 ) using the first dependence estimate to scale observed factors.
14 . The device of claim 13 , the processor to:
calculate the dependence vector using samples from the sampling and the observed factors, resulting in a second dependence estimate.
15 . The device of claim 14 , the processor to calculate a second sampling of unobserved demand using the averaged dependence estimate to scale the observed factors.