Rejection sampling

Known as: Acceptance-rejection method, Rejection method, Adaptive rejection sampling 
In mathematics, rejection sampling is a basic technique used to generate observations from a distribution. It is also commonly called the acceptance… (More)
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Related topics

Related topics

18 relations
Bach's algorithmBox–Muller transformComputational statisticsCurse of dimensionality
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Papers overview

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2017
2017
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
Variational inference using the reparameterization trick has enabled large-scale approximate Bayesian inference in complex… (More)
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Review
2017
Review
2017
Interpreting temporal fluctuations in resting-state functional connectivity MRI
Resting-state functional connectivity is a powerful tool for studying human functional brain networks. Temporal fluctuations in… (More)
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2013
2013
Quantum rejection sampling
Rejection sampling is a well-known method to sample from a target distribution, given the ability to sample from a given… (More)
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Highly Cited
2010
Highly Cited
2010
Adaptive Rejection Sampling for Gibbs Sampling
  • By W. R. GILKSt
  • 2010
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2010
Highly Cited
2010
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
With more than 250 million active users, Facebook (FB) is currently one of the most important online social networks. Our goal in… (More)
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Highly Cited
2009
Highly Cited
2009
From PID to Active Disturbance Rejection Control
Active disturbance rejection control (ADRC) can be summarized as follows: it inherits from proportional-integral-derivative (PID… (More)
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Highly Cited
2006
Highly Cited
2006
Active disturbance rejection control: a paradigm shift in feedback control system design
The question addressed in this paper is: just what do we need to know about a process in order to control it? With active… (More)
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2000
2000
Extension of Fill's perfect rejection sampling algorithm to general chains
By developing and applying a broad framework for rejection sampling using auxiliary randomness, we provide an extension of the… (More)
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Highly Cited
1996
Highly Cited
1996
Metropolized independent sampling with comparisons to rejection sampling and importance sampling
Although Markov chain Monte Carlo methods have been widely used in many disciplines, exact eigen analysis for such generated… (More)
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Highly Cited
1985
Highly Cited
1985
Random Sampling with a Reservoir
We introduce fast algorithms for selecting a random sample of <italic>n</italic> records without replacement from a pool of… (More)
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