Riccardo de Bin: Integrated likelihoods in the presence of many nuisance parameters
Céline Cunen: Confidence distributions: a potential bridge for combining parametric and nonparametric analyses
Thore Egeland: Parameters and pedigrees
Ingrid Glad: Old bridge still standing – nonparametric estimation with a parametric start
Kristoffer Hellton: Focused Fine-tuning of Ridge Regression for Personalized Prediction
Gudmund Hermansen: Focused regularised likelihood
Nils Lid Hjort: Opening remarks
Nils Lid Hjort: The hybrid likelihood: Combining parametric and nonparametric likelihoods
Nils Lid Hjort: Minimum dispair, maximum despair
Martin Jullum: A focused model selection criterion for selecting among parametric and nonparametric models
Vinnie Ko: FIC for copulae
Jonas Moss: Nonparametric density estimation on [0, 1] with Bernstein splines
Håkon Otneim: Multivariate density estimation using the local Gaussian correlation
Sonia Petrone: On Bayesian nonparametric regression
Igor Prünster: Does the full support property suffice for Bayesian nonparametrics?
Christian Rohrbeck: Bayesian spatial monotonic multiple regression
Emil Stoltenberg: Inference in misspecified cure models
Bård Støve: Applications of Local Gaussian Correlation in Finance
Dag Tjøstheim: Local Gaussian approximation
Sam-Erik Walker: Focused model selection and inference using robust estimators