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Association of the C-reactive protein-albumin-lymphocyte index with clinical outcomes after mechanical thrombectomy for acute ischemic stroke. [PDF]
Front Aging NeurosciLi J +6 more
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Control Variates for Constrained Variables [PDF]
IEEE Signal Processing Letters, 2022 Numerical Bayesian inference methods typified by Markov chain Monte Carlo generate a set of samples from a probability distribution. When using real-valued samples to approximate the expectation of a random variable, the variance of the resulting estimator, obtained by averaging over those samples, decreases as the number of samples increases. However,
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Combining antithetic variates and control variates in simulation experiments
ACM Transactions on Modeling and Computer Simulation, 1996Antithetic variates and control variates are two well-known variance reduction techniques. We consider combining antithetic variates and control variates to estimate the mean response in a stochastic simulation experiment. When applying antithetic variates to generate control variates across paired replications, we show that the integrated control ...
Philip Heidelberger
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Concepts of variation control systems
Journal of Systems and Software, 2021Abstract Version control systems are an integral part of today’s software engineering. They facilitate the collaborative management of revisions (sequential versions) and variants (concurrent versions) of software systems under development. Typical version control systems maintain revisions of files and variants of whole software systems.
Lukas Linsbauer +3 more
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Operations Research, 1990
Other than common random numbers, control variates is the most promising variance reduction technique in terms of its potential for widespread use: Control variates is applicable in single or multiple response simulation, it does not require altering the simulation run in any way, and any stochastic simulation contains potential control variates.
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Other than common random numbers, control variates is the most promising variance reduction technique in terms of its potential for widespread use: Control variates is applicable in single or multiple response simulation, it does not require altering the simulation run in any way, and any stochastic simulation contains potential control variates.
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Control Variates for Similarity Search
2021We present an alternative technique for similarity estimation under locality sensitive hashing (LSH) schemes with discrete output. By utilising control variates and extra information, we are able to achieve better theoretical variance reductions compared to maximum likelihood estimation with extra information. We show that our method obtains equivalent
Jeremy Chew, Keegan Kang
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Computers & Operations Research, 1987
The use of different nonlinear control variates when special aspects of the simulation experiment make them advantageous is proposed. A class of estimators that contains new control variates that have advantages over known control variates in special situations is defined. The properties of this class of estimators are investigated.
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The use of different nonlinear control variates when special aspects of the simulation experiment make them advantageous is proposed. A class of estimators that contains new control variates that have advantages over known control variates in special situations is defined. The properties of this class of estimators are investigated.
openaire +2 more sources