\texttt{CAMERA}: a method for cost-aware, adaptive, multifidelity, efficient reliability analysis
From MaRDI portal
Publication:2099759
DOI10.1016/j.jcp.2022.111698OpenAlexW4306742598MaRDI QIDQ2099759
S. Ashwin Renganathan, Vishwas Rao, I. Michael Navon
Publication date: 18 November 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2203.01436
reliability analysisGaussian process regressionsequential experiment designaircraft design and certification
Mathematical programming (90Cxx) Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An efficient surrogate-based method for computing rare failure probability
- Evaluation of failure probability via surrogate models
- Sequential design of computer experiments for the estimation of a probability of failure
- An informational approach to the global optimization of expensive-to-evaluate functions
- Posterior consistency of Gaussian process prior for nonparametric binary regression
- On the convergence properties of the EM algorithm
- Efficient global optimization of expensive black-box functions
- Fast Bayesian hyperparameter optimization on large datasets
- Multifidelity probability estimation via fusion of estimators
- Gaussian process surrogates for failure detection: a Bayesian experimental design approach
- Multifidelity importance sampling
- Bayesian Calibration of Computer Models
- Introduction to Stochastic Search and Optimization
- Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
- A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy
- Multi-fidelity Gaussian Process Bandit Optimisation
- Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
- Methods of Reducing Sample Size in Monte Carlo Computations
- The elements of statistical learning. Data mining, inference, and prediction
