activity
20122026
most citedModels for Paired Comparison Data: A Review with Emphasis on Dependent Data

174 citations · 215 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2026

Model-based clustering of compositional trajectories for the analysis of mobility data

Andrea Panarotto, Manuela Cattelan, Ruggero Bellio

Understanding urban mobility patterns is crucial for designing efficient and sustainable transportation systems. Motivated by an application to the municipality of Padova and its s…

stat.ME2024

Fast QR updating methods for statistical applications

Mauro Bernardi, Claudio Busatto, Manuela Cattelan

This paper introduces fast R updating algorithms specifically designed for statistical applications, including regression, filtering, and model selection, where data structures cha…

stat.AP2022

Missing data patterns in runners' careers: do they matter?

Mattia Stival, Mauro Bernardi, Manuela Cattelan +1

Predicting the future performance of young runners is an important research issue in experimental sports science and performance analysis. We analyse a data set with annual seasona…

stat.CO2014

Empirical and Simulated Adjustments of Composite Likelihood Ratio Statistics

Manuela Cattelan, Nicola Sartori

Composite likelihood inference has gained much popularity thanks to its computational manageability and its theoretical properties. Unfortunately, performing composite likelihood r…

stat.AP2013★ 41 cited

Statistical Modelling of Citation Exchange Between Statistics Journals

Cristiano Varin, Manuela Cattelan, David Firth

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

stat.ME2012★ 174 cited

Models for Paired Comparison Data: A Review with Emphasis on Dependent Data

Manuela Cattelan

Thurstonian and Bradley-Terry models are the most commonly applied models in the analysis of paired comparison data. Since their introduction, numerous developments have been propo…