Comments (3)
dfm
commented on June 6, 2024
Alright... let's do it. To do:
- Add figures showing autocorrelation function for various test cases.
- Give a table of acceptance fractions and autocorrelation times for various example densities.
- Comment on issue #30 --- the performance of
emceeversus Metropolis-Hastings when the proposal is perfectly tuned for a low-D Gaussian. It might even be relevant to show how this scales with dimensionality.
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davidwhogg
commented on June 6, 2024
Now that you have shipped 1.1, it might be time to close this issue. I am standing by to help (it really is only a few-hour project).
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davidwhogg
commented on June 6, 2024
I think this is done.
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Related Issues (20)
- Parallelization of emcee is working not as fast as expected HOT 4
- My samplers do not converge to maximum likelihood
- HDF backend file size
- Multiprocessing Pool scaling not as expected HOT 4
- [3.1.3] test failure with scipy 1.10 HOT 3
- Progress bar HOT 1
- Investigate the use of optree for structured parameter sets
- Issue on page /index.html HOT 1
- Add set_description to `pbar._NoOpPBar` HOT 1
- In emcee.EnsembleSampler threads command is not working
- Problem using 4-byte floats with EnsembleSampler HOT 4
- JAX implementation of emcee HOT 3
- issue with emcee installation HOT 3
- (solved) issue with sampler stalling with multiprocessing
- Saving non-arrayifiable data at each likelihood evaluation (either to disk or in memory) HOT 4
- Incompatible with numpy 2.0.0rc1 HOT 3
- New release to prepare for numpy 2 HOT 5
- Trying to use Blobs with the vectorize=True keyword returns a ValueError("incompatible input dimensions")
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