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Table of Contents
Inverse problems and subjective computing
Linear algebra
Continuous and discrete multivariate distributions
Introduction to sampling
The praise of ignorance: randomness as lack of certainty
Enter subject: Construction of priors
Posterior densities, ill-conditioning, and classical regularization
Conditional Gaussian densities
Iterative linear solvers and priorconditioners
Hierarchical models and Bayesian sparsity
Sampling: the real thing
Dynamic methods and learning from the past
Bayesian filtering and Gaussian densities
.
Linear algebra
Continuous and discrete multivariate distributions
Introduction to sampling
The praise of ignorance: randomness as lack of certainty
Enter subject: Construction of priors
Posterior densities, ill-conditioning, and classical regularization
Conditional Gaussian densities
Iterative linear solvers and priorconditioners
Hierarchical models and Bayesian sparsity
Sampling: the real thing
Dynamic methods and learning from the past
Bayesian filtering and Gaussian densities
.