Bayes functional regression
December 2, 2019 — May 25, 2023
functional analysis
Gaussian
generative
Hilbert space
kernel tricks
nonparametric
regression
spatial
stochastic processes
time series
Suspiciously similar content
Junction for various Bayesian methods where the estimands are functions over some continuous argument space.
1 Gaussian process regression
2 On manifolds
I would like to read Terenin on GPs on Manifolds, who also makes a suggestive connection to SDEs, which is the filtering GPs trick again.
3 By variational inference
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4 Neural processes
See neural processes.
5 Non-Gaussian
6 Generic nonparametrics
See Bayes nonparametrics.
7 References
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