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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
AlgorithmComputational statisticsGibbs samplingMacsyma

Broader (1)

Markov chain Monte Carlo

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Generalized Elliptical Slice Sampling with Regional Pseudo-priors
In this paper, we propose a MCMC algorithm based on elliptical slice sampling with the purpose to improve sampling efficiency… 
2017
2017
Stochastic Gradient Monomial Gamma Sampler
Recent advances in stochastic gradient techniques have made it possible to estimate posterior distributions from large datasets… 
2016
2016
Elliptical slice sampling for Bayesian shrinkage regression with applications to causal inference
This paper specializes the elliptical slice sampler for Bayesian linear regression models with Gaussian errors and arbitrary… 
2015
2015
Action classification using a discriminative multilevel HDP-HMM
2014
2014
Parallel Slice Sampling
To draw a sample of a continuous variable B from a finite measure g, using a Markov chain Monte Carlo (MCMC) method, there is an… 
2013
2013
Star Convex Object Detection by the Infinite Shape Mixture Model
Shape is an important feature of many object categories. In this paper we propose a Bayesian framework for detection of unknown… 
2013
2013
Slice sampling technique in Bayesian extreme of gold price modelling
In this paper, a simulation study of Bayesian extreme values by using Markov Chain Monte Carlo via slice sampling algorithm is… 
2012
2012
Single Camera Railways Track Profile Inspection Using an Slice Sampling-Based Particle Filter
An automatic method for rail inspection is introduced in this paper. The method detects rail flaws using computer vision… 
2005
2005
A Statistical Inference Comparison for Measurement Estimation: Application to the Estimation of Groove Dimensions by RFEC
The purpose of the current paper is to present the comparison of different techniques for making statistical inference about a… 
2000
2000
SOLAR PARTICLE EVENT DOSES AND DOSE RATES FOR INTERPLANETARY CREWS: PREDICTIONS USING ARTIFICIAL INTELLIGENCE AND BAYESIAN INFERENCE
ABSTRACT For deep space missions, a major concern is the occurrence of large solar particle events (SPE) which can deliverdoses… 
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