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github-actions[bot] estimates: run 141 from efed18a ceca74d 129 Commits
estimates.jsonestimates: run 141 from efed18a
README.mdestimates: run 141 from efed18a
runs.jsonlestimates: run 141 from efed18a

Cached entropy estimates#

Machine-generated by .github/workflows/estimates.yml on main — do not edit by hand. Every dispatch runs the whole grid again with fresh, independent pasts, appends one record per cell to runs.jsonl, and rebuilds estimates.json from the full log, so the means tighten run after run.

  • runs.jsonl — append-only, one JSON object per (cell, dispatch): the cell's parameters, the per-past values with their sum and sum of squares, the per-past resolved Gibbs thinning and probe autocorrelation times (thin='auto' matches thinning to each chain's measured mixing), the seed, and the code commit that produced them.
  • estimates.json — pooled mean and se per cell over every past ever drawn for it, alongside the analytic predicted rate for comparison.

The estimand is H(z_(M+1) | z_1..z_M) in bits/sample — an upper bound on the entropy rate of z that tightens as the conditioning window M grows.

Fetch it from a browser or a script (raw.githubusercontent.com sends access-control-allow-origin: *):

https://raw.githubusercontent.com/concept-collection/timeseries-entropy/estimates/estimates.json

Current state (128 runs, generated 2026-08-15T02:30:27Z)#

cell sigma M mean se pasts predicted
bp300-6000_s1 1 512 0.9320 0.0039 1024 0.9513
bp300-6000_s16 16 512 2.5504 0.0086 1024 2.5680
bp300-6000_s2 2 512 1.3101 0.0036 1024 1.3319
bp300-6000_s32 32 512 2.9867 0.0194 1024 2.9938
bp300-6000_s4 4 512 1.7249 0.0043 1024 1.7342
bp300-6000_s8 8 512 2.1292 0.0060 1024 2.1476
lp3000_s1 1 512 0.4791 0.0073 1024 0.6166
lp3000_s16 16 512 1.4410 0.0062 1024 1.4888
lp3000_s2 2 512 0.7620 0.0084 1024 0.8251
lp3000_s32 32 512 1.6661 0.0064 1024 1.7179
lp3000_s4 4 512 0.9925 0.0059 1024 1.0415
lp3000_s8 8 512 1.2110 0.0068 1024 1.2632
ma8_s1 1 512 0.4806 0.0066 1024 0.6100
ma8_s16 16 512 3.1752 0.0078 1024 3.1777
ma8_s2 2 512 0.9757 0.0030 1024 0.9825
ma8_s32 32 512 4.0890 0.0077 1024 4.1125
ma8_s4 4 512 1.5566 0.0033 1024 1.5529
ma8_s8 8 512 2.3093 0.0052 1024 2.3064
none_s1 1 512 2.1054 0.0021 1024 2.1048
none_s16 16 512 6.0134 0.0155 1024 6.0473
none_s2 2 512 3.0673 0.0037 1024 3.0620
none_s32 32 512 7.0519 0.0334 1024 7.0472
none_s4 4 512 4.0390 0.0043 1024 4.0508
none_s8 8 512 5.0512 0.0091 1024 5.0480
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