48 citations · 199 across the 12 of their papers we have counts for
12 papers
Species Sensitivity Distribution revisited: a Bayesian nonparametric approach
Louise Alamichel, Julyan Arbel, Guillaume Kon Kam King +1
We present a novel approach to ecological risk assessment by recasting the Species Sensitivity Distribution (SSD) method within a Bayesian nonparametric (BNP) framework. Widely man…
Multivariate Species Sampling Models
Beatrice Franzolini, Antonio Lijoi, Igor Prünster +1
Species sampling processes have long served as the fundamental framework for modeling random discrete distributions and exchangeable sequences. However, data arising from distinct…
Nonparametric priors with full-range borrowing of information
Filippo Ascolani, Beatrice Franzolini, Antonio Lijoi +1
Modeling of the dependence structure across heterogeneous data is crucial for Bayesian inference since it directly impacts the borrowing of information. Despite the extensive advan…
BNPdensity: Bayesian nonparametric mixture modeling in R
Julyan Arbel, Guillaume Kon Kam King, Antonio Lijoi +2
Robust statistical data modelling under potential model mis-specification often requires leaving the parametric world for the nonparametric. In the latter, parameters are infinite…
Discussions of the paper "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox
Julyan Arbel, Marco Battiston, Stefano Favaro +5
These are written discussions of the paper "Sparse graphs using exchangeable random measures" by François Caron and Emily B. Fox, contributed to the Journal of the Royal Statistica…
A Bayesian nonparametric approach to modeling market share dynamics
Igor Prünster, Matteo Ruggiero
We propose a flexible stochastic framework for modeling the market share dynamics over time in a multiple markets setting, where firms interact within and between markets. Firms un…