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This information can in turn be used to design problem-specific neighborhood operators for local search, to bias future runs of EDAs on a similar problem, or to create an efficient computational model of the problem. For example, if the population is represented by bit strings of length 4, the EDA can represent the population of promising ...
The basis of the method is to have, or to find, a set of simultaneous equations involving both the sample data and the unknown model parameters which are to be solved in order to define the estimates of the parameters. [1] Various components of the equations are defined in terms of the set of observed data on which the estimates are to be based.
A common example of a first-hitting-time model is a ruin problem, such as Gambler's ruin. In this example, an entity (often described as a gambler or an insurance company) has an amount of money which varies randomly with time, possibly with some drift. The model considers the event that the amount of money reaches 0, representing bankruptcy.
Minimize the cross-entropy between this distribution and a target distribution to produce a better sample in the next iteration. Reuven Rubinstein developed the method in the context of rare-event simulation , where tiny probabilities must be estimated, for example in network reliability analysis, queueing models, or performance analysis of ...
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In the statistical theory of estimation, the German tank problem consists of estimating the maximum of a discrete uniform distribution from sampling without replacement. In simple terms, suppose there exists an unknown number of items which are sequentially numbered from 1 to N .
For example, say you have two IRAs, one with a $5,000 RMD and one with a $7,000 RMD. You could take $12,000 from one, $6,000 from each, or any combination you like as long as you withdraw at least ...
No one can stand in Ohio State's way if the Buckeyes keep playing like this. The No. 8 Buckeyes absolutely throttled No. 1 Oregon in the first half on the way to a 41-21 Rose Bowl win on Wednesday ...