#ag > Is Bayesian a belif? Bayesian is like the model (not a belief). > Bayesian de-convolution? Fig.2.10. (BDA) is similar to deconvolution happending in f = g * N(0,1). Convolution is related to kernel, fourier transform etc. > Opinion on reconstruction conjecture? We choose high dimensional model with enough structure so that it can be identified. Similarly, random is a deterministic in high dimension projected to lower dimension due to finiteness of our perception -- finite implemeted program. > What is the difference between verification vs identification? Similar but the verification is more mathematical and well-defined. > Meaning of “Mathematical science is an indivisible whole, an organism whose vitality is conditioned upon the connection of its parts” by Hilbert? Hierarchical modeling can come before Bayesian. e.g. Euclidean 5 axioms connected to each other implying the othere.g. Euclidean 5 axioms connected to each other implying the other - Neural network is not preserved under linear transformation due to regularization which is isn't preserved under prior (rotation is also involved). ![[AngieAxiom.pdf]]