On 29/05/12 20:17, Michael Clerx wrote:
Dear all,
I'm glad to see uncertainty being taken into acount in cell models.
Perhaps it would be worthwhile to add the scenario where no assumptions
are made about the uncertainty and a parameter value is simply given by
its upper and lower bounds.
I agree that there needs to be some way to handle that scenario.
However, it might be that in most cases where people do that, a uniform
distribution with upper and lower bounds will suffice - it seems to me
that saying a random variable is distributed uniformly between an upper
and lower bound is an explicit statement that the modeller knows that
the value falls in certain bounds, but has no reason to believe it is
any more likely to fall in one place within those bounds than anywhere else.
Such distributions already have a precedent of being used in Bayesian
statistics as uninformative prior distributions.
Best wishes,
Andrew
kind regards,
Michael
On 05/29/2012 01:28 AM, Andrew Miller wrote:
Hi all,
I've just put up a draft secondary specification on how we could
represent parameter uncertainty within the context of my CellML 1.2
draft.
The secondary specification can be viewed here:
http://www.cellml.org/Members/miller/draft-secondary-spec-uncertainty/
The DocBook it is generated from can be checked out here:
https://github.com/A1kmm/cellml-uncertainty-secondary
It is written against this draft CellML 1.2 specification:
http://www.cellml.org/Members/miller/draft-normative-spec-andrews-preferred/
It builds upon, and refers to, the draft secondary specification for
models of differential-algebraic equations with optional events,
available here:
http://www.cellml.org/Members/miller/draft-secondary-spec-dae-events
Best wishes,
Andrew
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