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Probabilistic Inference on Noisy Time Series
Currently when we output parameters, either in `pints.plot` or in `pints.io`, we call parameters as "p0","p1",... or "parameter 1", "parameter 2", ... First the numbering/naming is not consistent. Also maybe...
``` Running examples/toy/distribution-eight-schools.ipynb ... ERROR {'J': 8, 'y': [28, 8, -3, 7, -1, 1, 18, 12], 'sigma': [15, 10, 16, 11, 9, 11, 10, 18]} Running... Using Hamiltonian Monte Carlo...
As we discovered when looking at the L-BFGS optimiser (#1083 ) line search algorithms are not that straightforward and are an integral part of Quasi-Newton and conjugate gradient methods. Furthermore,...
@MichaelClerx @ben18785 I've got an initial draft of the Hager-Zhang line search algorithm #1160 it is passing all of the tests I've written and appears to be functional. However, I...
Hi all! We have a bunch of issues open for us to look at / investigate possible new directions. For example, ones you find with this search: https://github.com/pints-team/pints/issues?q=is%3Aissue+is%3Aopen+%22look+at+%22 As these...
[This](https://link.springer.com/article/10.1007/s11222-006-9438-0) paper has a few examples: - example 2 is a simple chemical reaction equation that is non-identifiable (so good for illustrating use of fake data simulations) - example 3...
Tried running DramACMC on `pints.GaussianLogPDF` and it looks like the distribution converges to a stationary distribution that is substantially wider than the target.
Addresses #1300 . Simplest solution to the problem. Just adds a function evaluate_pointwise_loglikelihoods which can be called in the ask-tell loop or calculated separately from the inference.
I was just discussing with @ben18785 that it may be beneficial to make the sampling and optimisation methods more accessible by providing some intuition on the algorithms in the docstrings...
Matplotlib looks like it has now added error checking for the value of `alpha` (which controls the transparency of plots) as I now get the following types of error when...