Global optimization using the asymptotically independent Markov sampling method

Konstantin M. Zuev, James L. Beck

Type: Article

Publication Date: 2013-04-29

Citations: 23

DOI: https://doi.org/10.1016/j.compstruc.2013.04.005

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Computers & Structures - View

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+ PDF Chat	Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling	2016	Alfredo Garbuno-Iñigo F.A. DiazDelaO Konstantin M. Zuev
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Works Cited by This (13)

Action	Title	Year	Authors
+	Generalized Trajectory Methods for Finding Multiple Extrema and Roots of Functions	1998	C. M. Yang James L. Beck
+	Probabilistic Inference Using Markov Chain Monte Carlo Methods	2011	Radford M. Neal
+	Metropolized independent sampling with comparisons to rejection sampling and importance sampling	1996	Jun S. Liu
+	Sequential Imputations and Bayesian Missing Data Problems	1994	Augustine Kong Jun S. Liu Wing Hung Wong
+	Bayesian system identification based on probability logic	2010	James L. Beck
+	Annealing evolutionary stochastic approximation Monte Carlo for global optimization	2010	Faming Liang
+ PDF Chat	ASYMPTOTICALLY INDEPENDENT MARKOV SAMPLING: A NEW MARKOV CHAIN MONTE CARLO SCHEME FOR BAYESIAN INFERENCE	2012	James L. Beck Konstantin M. Zuev
+ PDF Chat	Markov Chains for Exploring Posterior Distributions	1994	Luke Tierney
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings
+	Markov Chain Monte Carlo in Practice	1997	Mauro Gasparini