# Bayes functional regression

December 3, 2019 — May 25, 2023

functional analysis

Gaussian

generative

Hilbert space

kernel tricks

nonparametric

regression

spatial

stochastic processes

time series

Junction for various bayesian methods where the estimands are functions over some sintunuous 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

🏗

## 4 Neural processes

See neural processes.

## 5 Non-Gaussian

## 6 Generic nonparametrics

See Bayes nonparametrics.

## 7 References

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