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Control Variate for Stochastic Gradient CMC Jack Baker1arXiv:1706.05439v1 stat.CO 16 Jun 20171Paul Fearnhead1Emily B. Fox2Christopher Nemeth1STORi Center for Doctoral Training, Department of Mathematics
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What is control variates for stochastic?
Control variates for stochastic is a technique used in Monte Carlo simulations to reduce the variance of estimators by introducing additional random variables.
Who is required to file control variates for stochastic?
Researchers, statisticians, and analysts who are conducting stochastic simulations may be required to use control variates.
How to fill out control variates for stochastic?
Control variates can be filled out by selecting an appropriate auxiliary random variable and estimating its expected value.
What is the purpose of control variates for stochastic?
The purpose of using control variates for stochastic is to reduce the variance of estimators and improve the efficiency and accuracy of simulations.
What information must be reported on control variates for stochastic?
Information such as the main random variable being estimated, the auxiliary random variable chosen, and the estimated expected value of the auxiliary random variable must be reported.
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