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Metropolis–Hastings algorithm
Known as:
Metropolis method
, Metropolis sampling
, Metropolis-Hastings algorithm
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In statistics and in statistical physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of…
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Related topics
Related topics
32 relations
Autocorrelation
Blackboard system
Computing the permanent
Detailed balance
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Broader (1)
Markov chain Monte Carlo
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
The Metropolis-Hastings algorithm by example
J. Kerl
2012
Corpus ID: 124256737
The following are notes from a talk given to the University of Arizona Department of Mathematics Graduate Probability Seminar on…
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2009
2009
On a Directionally Adjusted Metropolis-Hastings Algorithm
D. Fraser
2009
Corpus ID: 14639592
We propose a new Metropolis-Hastings algorithm for sampling from smooth, unimodal distributions; a restriction to the method is…
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2008
2008
The Linked Importance Sampler Auxiliary Variable Metropolis Hastings Algorithm for Distributions with Intractable Normalising Constants
J. Koskinen
2008
Corpus ID: 54709739
We consider parameter inference for the class of models where the likelihoodfunction is analytically intractable as a result of a…
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2005
2005
Accept – reject Metropolis – Hastings sampling and marginal likelihood estimation
John M. Olin
2005
Corpus ID: 32606348
We describe a method for estimating the marginal likelihood, based on CHIB (1995) and CHIB and JELIAZKOV (2001), when simulation…
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Highly Cited
2002
Highly Cited
2002
Likelihood methods for fitting multilevel models with complex level-1 variation
W. Browne
,
D. Draper
,
J. Rasbash
,
H. Goldstein
2002
Corpus ID: 14830071
2001
2001
A novel parallel-rotation algorithm for atomistic Monte Carlo simulation of dense polymer systems
S. Santos
,
U. Suter
,
M. Müller
,
J. Nievergelt
2001
Corpus ID: 58927800
We develop and test a new elementary Monte Carlo move for use in the off-lattice simulation of polymer systems. This novel…
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1999
1999
MCMC and EM-based methods for inference in heavy-tailed processes with /spl alpha/-stable innovations
S. Godsill
Proceedings of the IEEE Signal Processing…
1999
Corpus ID: 17497061
In this paper we present both stochastic and deterministic iterative methods for inference about random processes with symmetric…
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1999
1999
Road and lane edge detection with multisensor fusion methods
B. Ma
,
S. Lakshmanan
,
A. Hero
Proceedings International Conference on Image…
1999
Corpus ID: 1245138
This paper treats automated detection of road and lane boundaries by fusing information from forward-looking optical and active W…
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1998
1998
A Sequential Metropolis-hastings Algorithm
P. Vandekerkhove
1998
Corpus ID: 18799130
This paper deals with the asymptotic properties of the Metropolis-Hastings algorithm, when the distribution of interest is…
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1998
1998
Solving Scheduling Problems by Simulated Annealing
O. Catoni
1998
Corpus ID: 121095240
We define a general methodology to deal with a large family of scheduling problems. We consider the case where some of the…
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