Fix doc rendering issues #74
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richfitz
commented
Sep 26, 2024
richfitz
commented
- missing title tags in the reference
- we would benefit from section headers in the article list
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #74 +/- ##
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Coverage 99.67% 99.67%
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Files 63 63
Lines 4331 4331
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Hits 4317 4317
Misses 14 14 ☔ View full report in Codecov by Sentry. |
weshinsley
approved these changes
Oct 1, 2024
| ``` | ||
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| We can plot a greyscale visualisation of its density by computing the density over a grid. Normally this is not possible of course: | ||
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| ```{r} | ||
| a <- seq(-2, 6, length.out = 1000) | ||
| b <- seq(-2, 2, length.out = 1000) | ||
| z <- outer(a, b, function(a, b) dnorm(b) * dnorm((a - b^2) / 0.5)) | ||
| z <- outer(a, b, function(alpha, beta) { |
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Above - it's not strictly "greyscale" - more sort of shades of roasted banana from yellow to gold. But it probably doesn't matter...
| @@ -104,24 +74,40 @@ points(s[1, ], s[2, ], pch = 19, col = "#00000055") | |||
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| It is not generally possible to directly sample from a density (otherwise MCMC and similar methods would not exist!). In these cases we need to use a sampler based on the density and if available possibly the gradient of the density. | |||
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| We can start with a basic random-walk sampler | |||
| We can start with a basic random-walk sampler: | |||
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Above on line 57, a typo - We can check than -> that
Co-authored-by: Wes Hinsley <w.hinsley@imperial.ac.uk>
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