https://github.com/eggplantbren/cricketinfo
https://github.com/eggplantbren/cricketinfo
cricket information-theory nested-sampling
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/eggplantbren/cricketinfo
- Owner: eggplantbren
- License: gpl-3.0
- Created: 2017-11-13T21:45:07.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-19T03:16:00.000Z (about 8 years ago)
- Last Synced: 2025-01-30T06:11:54.320Z (11 months ago)
- Topics: cricket, information-theory, nested-sampling
- Language: C++
- Size: 31.3 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
CricketInfo
===========
Some InfoNest stuff to measure entropies in cricket.
This depends on [InfoNest](https://github.com/eggplantbren/InfoNest),
which I've included as a submodule in this repository. Make sure you use
`--recursive` when you clone this repository:
$ git clone --recursive https://github.com/eggplantbren/CricketInfo
You'll also need to compile InfoNest before you can compile CricketInfo.
$ cd CricketInfo
$ cd InfoNest/cpp
$ make
$ cd ../../cpp
$ make
(c) 2017 Brendon J. Brewer
This is free software released under the GNU General Public License, version 3.
See LICENSE file for details.
## Some basic results
These are all for datasets of 100 innings.
For the constant hazard model, the average depth is 8.607 +- 0.044,
so the conditional (differential) entropy is 2.393 +- 0.044 nats.
The differential entropy of the prior is 4.350 nats.
Therefore, the mutual information is 1.957 +- 0.044 nats.
For the exponential hazard model, mu2 was the target parameter.
The average depth is 9.275 +- 0.053, so the conditional (differential)
entropy is 3.060 +- 0.053 nats. Therefore, the mutual information is
1.290 +- 0.053 nats.
## Results as a function of the number of innings
#### Constant Hazard model
N=10 => Mutual information = 0.910 +- 0.043 nats.
N=100 => Mutual information = 1.957 +- 0.044 nats.
N=200 => Mutual information = 2.249 +- 0.045 nats.