squiggle.c

Self-contained Monte Carlo estimation in C99
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commit f6562e9f65a197a9bec22e3ba6c32db650ff21cf
parent 9c1909595586181381ecbee8f0101b24ec3acf81
Author: NunoSempere <nuno.sempere@protonmail.com>
Date:   Mon, 24 Jul 2023 00:38:28 +0200

mark to-dos as done.

Diffstat:
MREADME.md | 7+++----
1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md @@ -259,8 +259,6 @@ Overall, I would caution that if you really care about the very far tails of dis ## To do list - [ ] Link to the examples in the examples section. -- [ ] Have some more complicated & realistic example -- [ ] Add summarization functions: 90% ci (or all c.i.?) - [ ] Systematize references - [ ] Publish online - [ ] Support all distribution functions in <https://www.squiggle-language.com/docs/Api/Dist> @@ -272,7 +270,7 @@ Overall, I would caution that if you really care about the very far tails of dis - [x] Add example for many samples - [ ] ~~Add a custom preprocessor to allow simple nested functions that don't rely on local scope?~~ - [x] Use gcc extension to define functions nested inside main. -- [x] Chain various sample_mixture functions +- [x] Chain various `sample_mixture` functions - [x] Add beta distribution - See <https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution> for a faster method. - [ ] ~~Use OpenMP for acceleration~~ @@ -307,4 +305,5 @@ Overall, I would caution that if you really care about the very far tails of dis - https://github.com/numpy/numpy/blob/5cae51e794d69dd553104099305e9f92db237c53/numpy/random/src/distributions/distributions.c - [x] Pontificate about lognormal tests - [x] Give warning about sampling-based methods. -- [ ] +- [x] Have some more complicated & realistic example +- [x] Add summarization functions: 90% ci (or all c.i.?)