Add to ORKGRecently, several models have been proposed in literature for analyzing ranks assigned by people to some object. These models summarize the liking feeling for this object, possibly also with respect to a set of explanatory variables. Some recent works have suggested the use of the Shifted Binomial and of the Inverse Hypergeometric distribution for modelling the approval rate, while mixture models have been developed for taking into account the uncertainty of the ranking process. We propose two new probabilistic models, based on the Discrete Beta and the Shifted-Beta Binomial distributions, that ensure much flexibility and allow the joint modelling of the scale (approval rate) and the shape (uncertainty) of the distribution of the r...
In recent years the use of questionnaires to investigate and measure human perceptions has hugely in...
The contribution considers a class of mixture models able to interpret empirical evidence about the ...
In this paper a novel approach is proposed for ranking data analysis that is based on marginal distr...
Recently, several models have been proposed in literature for analyzing ranks assigned by people to ...
Recently, several models have been proposed for analysing the ranks assigned by people to some objec...
Abstract: A statistical model for ranks is presented, and some results on its parameter are discusse...
The well-studied problem of statistical rank aggregation has been applied to comparing sports teams,...
It is commonly known that the respondents to rating scale questions, when are not aware, can select ...
The Wallenius distribution is a generalisation of the Hypergeometric distribution where weights are ...
A mixture model for preferences data, which adequately represents the composite nature of the elicit...
Mixture models for ordinal responses in the tradition of CUB models use the uniform distribution to ...
We address the problem of rank elicitation as-suming that the underlying data generating pro-cess is...
A probabilistic multidimensional scaling model that estimates both location and variance parameters ...
In this article, we present the command cub, which fits ordinal rating data using combination of uni...
Most works on approval use linear normal model, though its assumption is se-riously flawed and their...
In recent years the use of questionnaires to investigate and measure human perceptions has hugely in...
The contribution considers a class of mixture models able to interpret empirical evidence about the ...
In this paper a novel approach is proposed for ranking data analysis that is based on marginal distr...
Recently, several models have been proposed in literature for analyzing ranks assigned by people to ...
Recently, several models have been proposed for analysing the ranks assigned by people to some objec...
Abstract: A statistical model for ranks is presented, and some results on its parameter are discusse...
The well-studied problem of statistical rank aggregation has been applied to comparing sports teams,...
It is commonly known that the respondents to rating scale questions, when are not aware, can select ...
The Wallenius distribution is a generalisation of the Hypergeometric distribution where weights are ...
A mixture model for preferences data, which adequately represents the composite nature of the elicit...
Mixture models for ordinal responses in the tradition of CUB models use the uniform distribution to ...
We address the problem of rank elicitation as-suming that the underlying data generating pro-cess is...
A probabilistic multidimensional scaling model that estimates both location and variance parameters ...
In this article, we present the command cub, which fits ordinal rating data using combination of uni...
Most works on approval use linear normal model, though its assumption is se-riously flawed and their...
In recent years the use of questionnaires to investigate and measure human perceptions has hugely in...
The contribution considers a class of mixture models able to interpret empirical evidence about the ...
In this paper a novel approach is proposed for ranking data analysis that is based on marginal distr...