Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs

DOI10.1016/j.stamet.2011.01.009zbMath1248.60088OpenAlexW1980351704MaRDI QIDQ713937

Ramiro Ruiz-Cárdenas, Marco A. R. Ferreira, Alexandra Mello Schmidt

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2011.01.009

zbMATH Keywords

genetic algorithmsexpected utility maximizationsimulation-based algorithmsozone network design

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Applications of statistics to environmental and related topics (62P12) Bayesian problems; characterization of Bayes procedures (62C10) Decision theory (91B06) Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC

Uses Software

• Ox

Cites Work

• Distributed evolutionary Monte Carlo for Bayesian computing
• Statistical decision theory and Bayesian analysis. 2nd ed
• Accelerated simulated tempering
• Decision Analysis by Augmented Probability Simulation
• Bayesian Geostatistical Design
• Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models
• Designing and Integrating Composite Networks for Monitoring Multivariate Gaussian Pollution Fields
• Artificial Evolution
• Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation
• Exchange algorithms for constructing large spatial designs
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