Skip to search formSkip to main contentSkip to account menu
You are currently offline. Some features of the site may not work correctly.

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… 
Wikipedia

Related topics

Related topics

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

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
A systematic analysis of performance measures for classification tasks
This paper presents a systematic analysis of twenty four performance measures used in the complete spectrum of Machine Learning… 
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
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… 
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
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… 
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • figure 5
Highly Cited
2001
Highly Cited
2001
PERFORMANCE MATCHED DISCRETIONARY ACCRUAL MEASURES
  • table 1
  • table 2
  • table 3
  • table 5
  • figure 1
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… 
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… 
Highly Cited
1995
Highly Cited
1995
Adaptive Rejection Metropolis Sampling Within Gibbs Sampling
Gibbs sampling is a powerful technique for statistical inference. It involves little more than sampling from full conditional… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Review
1986
Review
1986
Non-Uniform Random Variate Generation
This is a survey of the main methods in non-uniform random variate generation, and highlights recent research on the subject… 
  • table 1
  • table 2
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE