4 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
Giuseppe Mignemi, Ioanna Manolopoulou
Rating procedure is crucial in many applied fields (e.g., educational, clinical, emergency). It implies that a rater (e.g., teacher, doctor) rates a subject (e.g., student, doctor)…
Mixture polarization in inter-rater agreement analysis: a Bayesian nonparametric index
Giuseppe Mignemi, Antonio Calcagnì, Andrea Spoto +1
In several observational contexts where different raters evaluate a set of items, it is common to assume that all raters draw their scores from the same underlying distribution. Ho…
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
This paper develops a sparsity-inducing version of Bayesian Causal Forests, a recently proposed nonparametric causal regression model that employs Bayesian Additive Regression Tree…
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
Large observational data are increasingly available in disciplines such as health, economic and social sciences, where researchers are interested in causal questions rather than pr…
Estimating the Expected Value of Sample Information across Different Sample Sizes using Moment Matching and Non-Linear Regression
Anna Heath, Ioanna Manolopoulou, Gianluca Baio
Background: The Expected Value of Sample Information (EVSI) determines the economic value of any future study with a specific design aimed at reducing uncertainty in a health econo…