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Slice sampling
Slice sampling is a type of Markov chain Monte Carlo algorithm for pseudo-random number sampling, i.e. for drawing random samples from a statistical…
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Related topics
Related topics
9 relations
Algorithm
Computational statistics
Gibbs sampling
Macsyma
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Broader (1)
Markov chain Monte Carlo
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Perfectns: Perfect Dynamic and Standard Nested Sampling for Spherically Symmetric Likelihoods and Priors
E. Higson
Journal of Open Source Software
2018
Corpus ID: 53239679
Nested sampling (Skilling, 2006) is a popular Monte Carlo method for computing Bayesian evidences and generating posterior…
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2017
2017
Stochastic Gradient Monomial Gamma Sampler
Yizhe Zhang
,
Chang-You Chen
,
Zhe Gan
,
Ricardo Henao
,
L. Carin
International Conference on Machine Learning
2017
Corpus ID: 4781478
Recent advances in stochastic gradient techniques have made it possible to estimate posterior distributions from large datasets…
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2015
2015
Slice Sampling for Probabilistic Programming
R. Ranca
,
Zoubin Ghahramani
arXiv.org
2015
Corpus ID: 17126063
We introduce the first, general purpose, slice sampling inference engine for probabilistic programs. This engine is released as…
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Review
2015
Review
2015
A note on slice sampling
C. Planas
,
Alessandro Rossi
2015
Corpus ID: 52473602
We review some fundamental characteristics of the slice sampler algorithm proposed by Neal (2003). We first asses the importance…
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2013
2013
Star Convex Object Detection by the Infinite Shape Mixture Model
W. Kropatsch
2013
Corpus ID: 14193906
Shape is an important feature of many object categories. In this paper we propose a Bayesian framework for detection of unknown…
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2013
2013
Slice sampling technique in Bayesian extreme of gold price modelling
Mohammad Rostami
,
M. Adam
,
N. Ibrahim
,
M. Yahya
2013
Corpus ID: 62631955
In this paper, a simulation study of Bayesian extreme values by using Markov Chain Monte Carlo via slice sampling algorithm is…
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2006
2006
A Note on Perfect Slice Sampling
W. Hörmann
,
J. Leydold
2006
Corpus ID: 116402190
Perfect slice sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random…
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2003
2003
Improved Perfect Slice Sampling
W. Hörmann
,
J. Leydold
2003
Corpus ID: 62648375
Perfect slice sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random…
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2003
2003
Calculating marginal likelihoods of DAGs
2003
Corpus ID: 14690559
One of the key problems in machine learning and statistics is how to learn the structure of graphical models from data. This…
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2000
2000
SOLAR PARTICLE EVENT DOSES AND DOSE RATES FOR INTERPLANETARY CREWS: PREDICTIONS USING ARTIFICIAL INTELLIGENCE AND BAYESIAN INFERENCE
L. Townsend
,
J. Neal
2000
Corpus ID: 17186151
ABSTRACT For deep space missions, a major concern is the occurrence of large solar particle events (SPE) which can deliverdoses…
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