Presentations
- Ernst Wit Workshop opening
- Ariel Alonso Model selection and multimodel inference in reliability estimation
- Keith Beven Testing hydrological models as hypotheses: a limits of acceptability approach and the issue of disinformation
- Kenneth Burnham Data, truth, models, and AIC versus BIC multimodel inference
- Johan Camps Nuclear emergency management: taking the right decisions with uncertain models
- Gerda Claeskens Model selection and model averaging
- John Copas Some models are useful ― for confidence intervals?
- Paul H. C. Eilers Sea level trend estimation by Seemingly Unrelated Penalized Regressions
- Nial Friel Computing marginal likelihood and Bayes factors for Bayesian models
- Peter J. Green How to compute posterior model probabilities ... and why that doesn't mean that we have solved the problem of model choice
- Peter Grunwald Model Selection when All Models are Wrong
- Herbert Hoijtink Objective Bayes factors for inequality constrained hypotheses
- Henkjan Honing The role of surprise in theory testing
- Angelika van der Linde Model Complexity
- Nick T. Longford ‘Which model?’ is the wrong question
- Arthur Petersen Model structure uncertainty: a matter of (Bayesian) belief?
- Setia Pramana Model averaging in dose-response study in microarray expression
- Anne Presanis Identifiability and model selection in dynamic transmission models for HIV: Bayesian evidence synthesis
- Martin Sewell Model selection and uncertainty in climate change mitigation research
- Leonard A. Smith All models are wrong, but some are dangerous: Philosophical Aspects of Statistical Model Selection
- George A.K. van Voorn An evaluation list as model selection aid: finding models with a balance between modelcomplexity, data availability and model application
- Erik-Jan Wagenmakers Default Bayesian t-tests
- Max Welling Learning with Weakly Chaotic Nonlinear Dynamical Systems
- Sylvia Wenmackers Models and simulations in material science: two cases without error bars