Bayesian strategies to assess uncertainty in velocity models

DOI10.1214/12-BA707zbMATH Open1330.62447WikidataQ60717496 ScholiaQ60717496MaRDI QIDQ2633907

Yanyan Li

Publication date: 5 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1339616730

zbMATH Keywords

Gaussian processesMetropolis-Hastings algorithmseismologyvelocity modelling

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Bayesian inference (62F15) Seismology (including tsunami modeling), earthquakes (86A15) Applications of statistics to physics (62P35) Geostatistics (86A32)

Recommendations

• Unnamed Item 👍 👎
• Bayesian analysis of simulation-based models 👍 👎
• On the quantification of model uncertainty: a Bayesian perspective 👍 👎
• Maximum likelihood Bayesian averaging of uncertain model predictions 👍 👎
• Analysis and comparison of Bayesian methods for measurement uncertainty evaluation 👍 👎
• Bayesian assessment of uncertainty in viscosity closure models for turbidity currents computations 👍 👎
• Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models 👍 👎
• A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation 👍 👎
• Bayesian Modeling of Uncertainty in Ensembles of Climate Models 👍 👎

This page was built for publication: Bayesian strategies to assess uncertainty in velocity models