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A map-based approach to Bayesian inference in inverse problems
Bayesian approaches for combining computational model output and physical observations
Bayesian Bias Mitigation for Crowdsourcing
Bayesian Uncertainty Quantification for Subsurface Inversion using Multiscale Hierarchical Model
Bayes Risk, Prior Distributions, Summarizing the Posterior. Bayesian Gaussian Linear Model.
Conditional Probability and Expectation, Bayes Theorem.
Denoising Archival Films Using a Field-of-experts Model of Film Grain and Natural Image Statistics
Hierarchical Bayesian Modeling: Why and How
Hierarchical Bayesian Models for Uncertainty Quantification and Model Validation
Non-parametric Bayesian dictionary learning for sparse image representations
Sampling for Linear-Gaussian Inverse Problems (is faster than regularized inversion)