Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Egidi, Leonardo"'
In the Bayesian framework power prior distributions are increasingly adopted in clinical trials and similar studies to incorporate external and past information, typically to inform the parameter associated to a treatment effect. Their use is particu
Externí odkaz:
http://arxiv.org/abs/2406.19346
Replication of scientific studies is important for assessing the credibility of their results. However, there is no consensus on how to quantify the extent to which a replication study replicates an original result. We propose a novel Bayesian approa
Externí odkaz:
http://arxiv.org/abs/2406.19152
Over the last few years, there has been a growing interest in the prediction and modelling of competitive sports outcomes, with particular emphasis placed on this area by the Bayesian statistics and machine learning communities. In this paper, we hav
Externí odkaz:
http://arxiv.org/abs/2405.10247
Autor:
Consonni, Guido, Egidi, Leonardo
There is a growing interest in the analysis of replication studies of original findings across many disciplines. When testing a hypothesis for an effect size, two Bayesian approaches stand out for their principled use of the Bayes factor (BF), namely
Externí odkaz:
http://arxiv.org/abs/2401.00257
The identification of groups' prototypes, i.e. elements of a dataset that represent different groups of data points, may be relevant to the tasks of clustering, classification and mixture modeling. The R package pivmet presented in this paper include
Externí odkaz:
http://arxiv.org/abs/2103.16948
Autor:
Fazia, Teresa, Egidi, Leonardo, Ayoglu, Burcu, Beecham, Ashley, Bitti, Pier Paolo, Ticca, Anna, Guo, Hui, McCauley, Jacob L., Nilsson, Peter, Asselta, Rosanna, Berzuini, Carlo, Bernardinelli, Luisa
We expand Mendelian Randomization (MR) methodology to deal with randomly missing data on either the exposure or the outcome variable, and furthermore with data from nonindependent individuals (eg components of a family). Our method rests on the Bayes
Externí odkaz:
http://arxiv.org/abs/2002.04872
Autor:
Egidi, Leonardo, Ntzoufras, Ioannis
Volleyball is a team sport with unique and specific characteristics. We introduce a new two level-hierarchical Bayesian model which accounts for theses volleyball specific characteristics. In the first level, we model the set outcome with a simple lo
Externí odkaz:
http://arxiv.org/abs/1911.01815
Autor:
Fazia, Teresa, Egidi, Leonardo, Ayoglu, Burcu, Beecham, Ashley, Bitti, Pier Paolo, Ticca, Anna, McCauley, Jacob L., Nilsson, Peter, Berzuini, Carlo, Bernardinelli, Luisa
Background In a study performed on multiplex Multiple Sclerosis (MS) Sardinian families to identify disease causing plasma proteins, application of Mendelian Randomization (MR) methods encounters difficulties due to relatedness of individuals, correl
Externí odkaz:
http://arxiv.org/abs/1903.00682
Modelling football outcomes has gained increasing attention, in large part due to the potential for making substantial profits. Despite the strong connection existing between football models and the bookmakers' betting odds, no authors have used the
Externí odkaz:
http://arxiv.org/abs/1802.08848
We propose a two-component mixture of a noninformative (diffuse) and an informative prior distribution, weighted through the data in such a way to prefer the first component if a prior-data conflict arises. The data-driven approach for computing the
Externí odkaz:
http://arxiv.org/abs/1708.00099