OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
We estimate the parameters of 21 simulation models using 9 estimation algorithms to discover which one is better at matching simulations with data. Unfortunately no single algorithm minimizes estimation error for all or even most the estimation tasks; instead algorithm varies for each simulation, and sometimes for each parameter of each simulation. Fortunately it is straightforward to use cross-validation to match to each simulation the best estimation algorithm for it. In terms of confidence intervals the results are more clear: bootstrap generates more precise prediction intervals than either quantiles or Approximate Bayesian Computation.
