Michael Clerx

Results 250 issues of Michael Clerx

See #1402 - [x] TransformedBoundaries. Added `sample()`, removed `range()` - [ ] TransformedErrorMeasure - [ ] TransformedLogPDF - [ ] TransformedLogPrior

~In https://github.com/pints-team/pints/blob/master/pints/_transformation.py we have [`TransformedBoundaries`](https://github.com/pints-team/pints/blob/master/pints/_transformation.py#L884) and a [`TransformedLogPrior`](https://github.com/pints-team/pints/blob/master/pints/_transformation.py#L1105) that implement some, but not all, of the methods in Boundaries and LogPrior. This means the remaining methods will return results using...

bug

We have a _private_ module `pints._diagnostics` that declares public and private methods, some of the public methods are exposed to the user as part of the public API. However, the...

code and design

~Still a work in progress, just need to update it to re-use a single chain and then it should be fine~ ~Looks to be working now~ Fixes #120

Can't find an existing ticket for this, though sure we had one at some point. Classed as black, _blue_, and **red** in Ben's diagram Likelihood-free - [ ] _Hamiltonian ABC_...

priority

Creating a big ticket using the list from/for the paper, closing smaller issues. Ultimately, this should be closed in favour of much more specific tickets ("implement method x") # Optimisers...

new method

Couple of warnings, then an error when building ``` Building: 32.0s, done.Messages from stanc: Warning in \'/tmp/httpstan_ioc8i20p/model_vdpin3fp.stan\', line 4, column 2: Declaration of arrays by placing brackets after a variable...

bug

Bouncy particle sampler: https://doi.org/10.1080/01621459.2017.1294075 Zig-zag: https://arxiv.org/abs/1607.03188

science!

Marina Riabiz, Wilson Chen, Jon Cockayne, Pawel Swietach, Steven A. Niederer, Lester Mackey, Chris. J. Oates (2020) Optimal Thinning of MCMC Output https://arxiv.org/abs/2005.03952 Looks at selecting an "optimal" subset of...

feature

Ege, Marti, Banga 2010 https://doi.org/10.1016/j.cor.2009.05.003 Gabor & Banga 2015 https://doi.org/10.1186/s12918-015-0219-2

new method