1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2022
Conjugate priors and bias reduction for logistic regression models
Tommaso Rigon, Emanuele Aliverti
Logistic regression models for binomial responses are routinely used in statistical practice. However, the maximum likelihood estimate may not exist due to data separability. We ad…
stat.ME2020★ 1 cited
Composite mixture of log-linear models for categorical data
Emanuele Aliverti, David B. Dunson
Multivariate categorical data are routinely collected in many application areas. As the number of cells in the table grows exponentially with the number of variables, many or even…
stat.AP2019
Projected -SNE for batch correction
Emanuele Aliverti, Jeff Tilson, Dayne Filer +6
Biomedical research often produces high-dimensional data confounded by batch effects such as systematic experimental variations, different protocols and subject identifiers. Withou…