OxTalks will soon be transitioning to Oxford Events (full details are available on the Staff Gateway). A two-week publishing freeze is expected in early Hilary to allow all events to be migrated to the new platform. During this period, you will not be able to submit or edit events on OxTalks. The exact freeze dates will be confirmed as soon as possible.
If you have any questions, 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.
