OurBigBook About$ Donate
 Sign in Sign up

Past exam of the mathematics course of the University of Cambridge / 2019 / iii / Paper 219 / 3 / b / Solution

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2019 iii Paper 219 3 b
2026-10-03  0 By others on same topic  0 Discussions Create my own version
At the fitted parameters, let C=Cθ​ and μ=μθ​. For prediction times t∗​ define
K∗∗​=Kf​(t∗​,t∗​),K∗y​=(Kf​(t∗​,t)​Kf​(t∗​,t−Δt)​).
(1)
The microlensing processes and measurement errors contribute no cross-covariance with the latent quasar light curve. The Gaussian process regression posterior is therefore
E[f∗​∣y]=c1+K∗y​C−1(y−μ),​
(2)
Cov(f∗​∣y)=K∗∗​−K∗y​C−1Ky∗​.​
(3)
The requested pointwise posterior variances are the diagonal entries of the latter matrix.

 Ancestors (11)

  1. b
  2. 3
  3. Paper 219
  4. iii
  5. 2019
  6. Past exam of the mathematics course of the University of Cambridge
  7. Mathematics course of the University of Cambridge
  8. Course of the University of Cambridge
  9. University of Cambridge
  10. List of universities
  11.  Home

 View article source

 Discussion (0)

New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook