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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… Expand
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Related topics

Related topics

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

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
An Overview of Recent Advances in Fixed-Time Cooperative Control of Multiagent Systems
Fixed-time cooperative control is currently a hot research topic in multiagent systems since it can provide a guaranteed settling… Expand
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Review
2018
Review
2018
A Review of Non-Invasive Sensory Feedback Methods for Transradial Prosthetic Hands
Any implant or prosthesis replacing a function or functions of an organ or group of organs should be biologically and sensorily… Expand
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Highly Cited
2004
Highly Cited
2004
Gene Selection for Cancer Classification using Support Vector Machines
DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active… Expand
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Highly Cited
2001
Highly Cited
2001
Cosmic-Ray Rejection by Laplacian Edge Detection
Conventional algorithms for rejecting cosmic rays in single CCD exposures rely on the contrast between cosmic rays and their… Expand
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Highly Cited
2001
Highly Cited
2001
PERFORMANCE MATCHED DISCRETIONARY ACCRUAL MEASURES
Prior research shows that extant discretionary accrual models are misspecified when applied to firms with extreme performance… Expand
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Highly Cited
2000
Highly Cited
2000
ERC: A Theory of Equity, Reciprocity, and Competition
We demonstrate that a simple model, constructed on the premise that people are motivated by both their pecuniary payoff and their… Expand
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Highly Cited
1996
Highly Cited
1996
Metropolized independent sampling with comparisons to rejection sampling and importance sampling
  • J. Liu
  • Stat. Comput.
  • 1996
    • Corpus ID: 13234855
Although Markov chain Monte Carlo methods have been widely used in many disciplines, exact eigen analysis for such generated… Expand
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Highly Cited
1995
Highly Cited
1995
Adaptive Rejection Metropolis Sampling Within Gibbs Sampling
 
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Highly Cited
1995
Highly Cited
1995
Bayesian learning for neural networks
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
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Highly Cited
1976
Highly Cited
1976
Falsification and the Methodology of Scientific Research Programmes
For centuries knowledge meant proven knowledge — proven either by the power of the intellect or by the evidence of the senses… Expand
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