6 papers
Model Selection via Focused Information Criteria for Complex Data in Ecology and Evolution
Gerda Claeskens, Céline Cunen, Nils Lid Hjort
Datasets encountered when examining deeper issues in ecology and evolution are often complex. This calls for careful strategies for both model building, model selection, and model…
Confidence in confidence distributions!
Céline Cunen, Nils Lid Hjort, Tore Schweder
The recent article `Satellite conjunction analysis and the false confidence theorem' (Balch, Martin, and Ferson, 2019, Proceedings of the Royal Society, Series A) points to certain…
Combining Information Across Diverse Sources: The II-CC-FF Paradigm
Céline Cunen, Nils Lid Hjort
We introduce and develop a general paradigm for combining information across diverse data sources. In broad terms, suppose is a parameter of interest, built up via components…
Optimal inference via confidence distributions for two-by-two tables modelled as Poisson pairs: fixed and random effects
Céline Cunen, Nils Lid Hjort
This paper presents methods for meta-analysis of tables, both with and without allowing heterogeneity in the treatment effects. Meta-analysis is common in medical rese…
Confidence Distributions for FIC scores
Céline Cunen, Nils Lid Hjort
When using the Focused Information Criterion (FIC) for assessing and ranking candidate models with respect to how well they do for a given estimation task, it is customary to produ…
Combining predictive distributions for time-to-event outcomes in meteorology
Céline Cunen, Thea Roksvåg, Claudio Heinrich-Mertsching +1
Combining forecasts from multiple numerical weather prediction (NWP) models have shown substantial benefit over the use of individual forecast products. Although combination, in a…