Achieving optimal statistical performance while ensuring the privacy of personal data is a
challenging yet crucial objective in modern data analysis. However, characterizing the …

Rankings of scholarly journals based on citation data are often met with scepticism by the
scientific community. Part of the scepticism is due to disparity between the common …

In the last two decades, regularization techniques, in particular penalty-based methods,
have become very popular in statistical modelling. Driven by technological developments …

The nominal response model is an item response theory model that does not require the
ordering of the response options. However, while providing a very flexible modeling …

Abstract The Bradley-Terry-Luce (BTL) model is a popular statistical approach for estimating
the global ranking of a collection of items using pairwise comparisons. To ensure accurate …

A general paired comparison model for the evaluation of sport competitions is proposed. It
efficiently uses the available information by allowing for ordered response categories and …

In traditional paired comparison models heterogeneity in the population is simply ignored
and it is assumed that all persons or subjects have the same preference structure. In the …

Abstract The Bradley-Terry-Luce (BTL) model is a classic and very popular statistical
approach for eliciting a global ranking among a collection of items using pairwise …

Abstract The Bradley-Terry Regression Trunk (BTRT) model combines the log-linear Bradley-
Terry model, including subject-specific covariates, with a particular tree-based model, the so …

In a traditional analysis of ordinal comparison data, the goal is to infer an overall ranking of
objects from best to worst with each object having a unique rank. However, the ranks of …