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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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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.
2017
2017
Practical Bayesian Optimization for Variable Cost Objectives
Mark McLeod
,
Michael A. Osborne
,
S. Roberts
2017
Corpus ID: 32527692
We propose a novel Bayesian Optimization approach for black-box functions with an environmental variable whose value determines…
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Highly Cited
2014
Highly Cited
2014
Compound random measures and their use in Bayesian non‐parametrics
Jim E. Griffin
,
F. Leisen
2014
Corpus ID: 260679127
A new class of dependent random measures which we call compound random measures is proposed and the use of normalized versions of…
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Highly Cited
2014
Highly Cited
2014
An Entropy Search Portfolio for Bayesian Optimization
Bobak Shahriari
,
Ziyun Wang
,
Matthew W. Hoffman
,
A. Bouchard-Côté
,
Nando de Freitas
arXiv.org
2014
Corpus ID: 1871771
Bayesian optimization is a sample-efficient method for black-box global optimization. How- ever, the performance of a Bayesian…
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2012
2012
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen
,
A. Ilin
International Conference on Artificial…
2012
Corpus ID: 10290332
This paper presents an efficient Gaussian process inference scheme for modeling shortscale phenomena in spatio-temporal datasets…
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Highly Cited
2012
Highly Cited
2012
On Lifting the Gibbs Sampling Algorithm
D. Venugopal
,
Vibhav Gogate
StarAI@UAI
2012
Corpus ID: 13052167
First-order probabilistic models combine the power of first-order logic, the de facto tool for handling relational structure…
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Highly Cited
2011
Highly Cited
2011
LightSlice: matrix slice sampling for the many-lights problem
Jiawei Ou
,
F. Pellacini
ACM Transactions on Graphics
2011
Corpus ID: 13937749
Recent work has shown that complex lighting effects can be well approximated by gathering the contribution of hundreds of…
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2011
2011
Bayesian analysis of Birnbaum-Saunders distribution with partial information
Ancha Xu
,
Yincai Tang
Computational Statistics & Data Analysis
2011
Corpus ID: 37063646
2009
2009
Dynamic Operational Risk: Modeling Dependence and Combining Different Sources of Information
G. Peters
,
P. Shevchenko
,
Mario V. Wuthrich
2009
Corpus ID: 15174280
This invention provides gastrointestinal peptides useful as antimicrobial and anti-inflammatory agents. This invention also…
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Highly Cited
2008
Highly Cited
2008
Beam sampling for the infinite hidden Markov model
Jurgen Van Gael
,
Yunus Saatci
,
Y. Teh
,
Zoubin Ghahramani
International Conference on Machine Learning
2008
Corpus ID: 5903376
The infinite hidden Markov model is a non-parametric extension of the widely used hidden Markov model. Our paper introduces a new…
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Highly Cited
2005
Highly Cited
2005
Slice sampling for simulation based fitting of spatial data models
D. K. Agarwal
,
A. Gelfand
Statistics and computing
2005
Corpus ID: 9577505
An auxiliary variable method based on a slice sampler is shown to provide an attractive simulation-based model fitting strategy…
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