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Rejection sampling

In numerical analysis and computational statistics, rejection sampling is a basic technique used to generate observations from a distribution. It is also commonly called the acceptance-rejection method or "accept-reject algorithm" and is a type of exact simulation method. The method works for any distribution in R m {\displaystyle \mathbb {R} ^{m}} with…

Adaptive rejection sampling, Theory & Drawbacks

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Overview

Algorithmic Definition

Detailed Description

Theory

Advantages over sampling using naive methods

Rejection sampling using exponential tilting

Drawbacks

Regenerative Rejection Sampling

Adaptive rejection sampling

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Map overview Semantic statistics

Rejection sampling

Nodes44
Edges43
Triples43
Avg. degree1.95
Density0.045455
Components1

How this topic connects Entity context

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Rejection sampling

Top relations

related to Drawbacks · 10
Rejection sampling → For, Gibbs, However, In, Markov, Metropolis, Monte Carlo, PDF, Rejection, See
related to Detailed Description · 9
Rejection sampling → Assume, Hence, Its, Now, Otherwise, PDF, The, This, To
related to Adaptive rejection sampling · 5
Rejection sampling → An, ARS, For, Gilks, There
related to Theory · 5
Rejection sampling → Accepting, In, Mg, Note, The
has method · 4
Rejection sampling → For, Output, Rejection, Sample
related to Algorithmic Definition · 4
Rejection sampling → Buffon, John, Neumann, The
related to Regenerative Rejection Sampling · 2
Rejection sampling → Regenerative Rejection Sampling, When
is a · 1
Rejection sampling → basic technique used to generate observations from a distribution

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Important terminology

displaystyle sampling distribution rejection density sample proposal function distributions algorithm method exponential target probability left right ratio log one using

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Rejection samplingis abasic technique used to generate observations from a distribution0.90text
the Metropolis algorithm.The unconditional acceptance probability is the proportion of proposed samples which are acceptedinstance ofIt forms the basis for algorithms0.80text
which is Pinstance ofIt forms the basis for algorithms0.80text
Metropolis sampling or Gibbs samplinginstance oftypically a Markov chain Monte Carlo method0.80text
Rejection samplinghas methodRejection0.60section
Rejection samplinghas methodFor0.60section
Rejection samplinghas methodSample0.60section
Rejection samplinghas methodOutput0.60section
Rejection samplingrelated to Adaptive rejection samplingFor0.60section
Rejection samplingrelated to Adaptive rejection samplingAn0.60section
Rejection samplingrelated to Adaptive rejection samplingARS0.60section
Rejection samplingrelated to Adaptive rejection samplingThere0.60section

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