35 citations · 37 across the 7 of their papers we have counts for
8 papers
Efficient and accurate inference for mixtures of Mallows models with Spearman distance
Marta Crispino, Cristina Mollica, Valerio Astuti +1
The Mallows model occupies a central role in parametric modelling of ranking data to learn preferences of a population of judges. Despite the wide range of metrics for rankings tha…
New algorithms and goodness-of-fit diagnostics from remarkable properties of ranking models
Cristina Mollica, Luca Tardella
The forward order assumption postulates that the ranking process of the items is carried out by sequentially assigning the positions from the top (most-liked) to the bottom (least-…
Bayesian analysis of ranking data with the constrained Extended Plackett-Luce model
Cristina Mollica, Luca Tardella
Multistage ranking models, including the popular Plackett-Luce distribution (PL), rely on the assumption that the ranking process is performed sequentially, by assigning the positi…
Algorithms and diagnostics for the analysis of preference rankings with the Extended Plackett-Luce model
Cristina Mollica, Luca Tardella
Choice behavior and preferences typically involve numerous and subjective aspects that are difficult to be identified and quantified. For this reason, their exploration is frequent…
PLMIX: An R package for modeling and clustering partially ranked data
Cristina Mollica, Luca Tardella
Ranking data represent a peculiar form of multivariate ordinal data taking values in the set of permutations. Despite the numerous methodological contributions to increase the flex…
Bayesian binary quantile regression for the analysis of Bachelor-Master transition
Cristina Mollica, Lea Petrella
The multi-cycle organization of modern university systems stimulates the interest in studying the progression to higher level degree courses during the academic career. In particul…
Bayesian mixture of Plackett-Luce models for partially ranked data
Cristina Mollica, Luca Tardella
The elicitation of an ordinal judgment on multiple alternatives is often required in many psychological and behavioral experiments to investigate preference/choice orientation of a…
Epitope profiling via mixture modeling of ranked data
Cristina Mollica, Luca Tardella
We propose the use of probability models for ranked data as a useful alternative to a quantitative data analysis to investigate the outcome of bioassay experiments, when the prelim…