f62098bReset cache: discard draws made before auto-thinningJeremy Magland 1# Cached entropy estimates
3285002estimates: run 8 from efed18agithub-actions[bot] 3Machine-generated by [`.github/workflows/estimates.yml`][wf] on `main` — do not
4edit by hand. Every dispatch runs the whole grid again with fresh, independent
5pasts, appends one record per cell to `runs.jsonl`, and rebuilds
6`estimates.json` from the full log, so the means tighten run after run.
8- **`runs.jsonl`** — append-only, one JSON object per (cell, dispatch): the
9 cell's parameters, the per-past values with their sum and sum of squares,
10 the per-past resolved Gibbs thinning and probe autocorrelation times
11 (`thin='auto'` matches thinning to each chain's measured mixing), the
12 seed, and the code commit that produced them.
13- **`estimates.json`** — pooled `mean` and `se` per cell over every past ever
14 drawn for it, alongside the analytic `predicted` rate for comparison.
16The estimand is H(z_(M+1) | z_1..z_M) in bits/sample — an upper bound on the
17entropy rate of z that tightens as the conditioning window M grows.
19Fetch it from a browser or a script (raw.githubusercontent.com sends
20`access-control-allow-origin: *`):
22 https://raw.githubusercontent.com/concept-collection/timeseries-entropy/estimates/estimates.json
a2d9d95estimates: run 131 from efed18agithub-actions[bot] 24## Current state (118 runs, generated 2026-08-14T06:17:10Z)
26| cell | sigma | M | mean | se | pasts | predicted |
27| --- | --- | --- | --- | --- | --- | --- |
a2d9d95estimates: run 131 from efed18agithub-actions[bot] 28| bp300-6000_s1 | 1 | 512 | 0.9317 | 0.0041 | 944 | 0.9513 |
29| bp300-6000_s16 | 16 | 512 | 2.5495 | 0.0089 | 944 | 2.5680 |
30| bp300-6000_s2 | 2 | 512 | 1.3099 | 0.0038 | 944 | 1.3319 |
31| bp300-6000_s32 | 32 | 512 | 2.9812 | 0.0202 | 944 | 2.9938 |
32| bp300-6000_s4 | 4 | 512 | 1.7255 | 0.0044 | 944 | 1.7342 |
33| bp300-6000_s8 | 8 | 512 | 2.1299 | 0.0064 | 944 | 2.1476 |
34| lp3000_s1 | 1 | 512 | 0.4774 | 0.0076 | 944 | 0.6166 |
35| lp3000_s16 | 16 | 512 | 1.4387 | 0.0062 | 944 | 1.4888 |
36| lp3000_s2 | 2 | 512 | 0.7619 | 0.0088 | 944 | 0.8251 |
37| lp3000_s32 | 32 | 512 | 1.6664 | 0.0067 | 944 | 1.7179 |
38| lp3000_s4 | 4 | 512 | 0.9911 | 0.0062 | 944 | 1.0415 |
39| lp3000_s8 | 8 | 512 | 1.2132 | 0.0071 | 944 | 1.2632 |
40| ma8_s1 | 1 | 512 | 0.4796 | 0.0068 | 944 | 0.6100 |
41| ma8_s16 | 16 | 512 | 3.1790 | 0.0083 | 944 | 3.1777 |
42| ma8_s2 | 2 | 512 | 0.9750 | 0.0031 | 944 | 0.9825 |
43| ma8_s32 | 32 | 512 | 4.0886 | 0.0077 | 944 | 4.1125 |
44| ma8_s4 | 4 | 512 | 1.5570 | 0.0035 | 944 | 1.5529 |
45| ma8_s8 | 8 | 512 | 2.3072 | 0.0052 | 944 | 2.3064 |
46| none_s1 | 1 | 512 | 2.1060 | 0.0022 | 944 | 2.1048 |
47| none_s16 | 16 | 512 | 6.0244 | 0.0165 | 944 | 6.0473 |
48| none_s2 | 2 | 512 | 3.0662 | 0.0030 | 944 | 3.0620 |
49| none_s32 | 32 | 512 | 7.0604 | 0.0351 | 944 | 7.0472 |
50| none_s4 | 4 | 512 | 4.0365 | 0.0043 | 944 | 4.0508 |
51| none_s8 | 8 | 512 | 5.0570 | 0.0098 | 944 | 5.0480 |
53[wf]: https://github.com/concept-collection/timeseries-entropy/blob/main/.github/workflows/estimates.yml