Compare PINTS samplers with Stan for a range of models #1538
Replies: 12 comments
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Just some y=mx + c + sigma ? |
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@mirams Yes, some regression equation of the form, y ~ N(alpha + beta x, sigma), would definitely be worth including. Do all models that we'll be considering have continuous parameters? I'm guessing so, but thought I'd check... |
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What's the simplest electrochemistry/electrophysiology models that exist? Can we test those? |
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Maybe the basic HH model? ("simplest electrophysiology model") |
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Just an open-closed one gate ion channel model would be a nice simple example. |
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@ben18785 This is based on the HH model:
You should see a current if you keep it at V=-80 for 1000ms and then jump to V=-40 for 1000ms (then back to -80, then -30, then -80, then -20, etc.) |
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@MichaelClerx That's great, thank you. Which of the parameters should I be trying to infer? Am guessing the 0.01 and 0.1 might be a good place to start? |
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Yeah those would be good! Initially you can vary anything except |
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Is this still something we want to do? |
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@ben18785 @martinjrobins here's an old stan ticket |
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@ben18785 can we close this? It's still interesting, but it would just be a project that uses PINTS, not really an "issue" with PINTS or something that would require changes to its code or documentation |
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We should compare PINTS' outputs for its implemented samplers with those of Stan (or Pymc3) -- the current industry standard.
In the future of PINTS development, I think it's important that whatever samplers we implement in PINTS we do extensive testing of them. I think as a base this should include the following models,
Any other models that people can think of to test?
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