research
∙
06/04/2023
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
Dirichlet process mixtures are particularly sensitive to the value of th...
share
research
∙
02/17/2022
Conjugate priors and bias reduction for logistic regression models
Logistic regression models for binomial responses are routinely used in ...
research
∙
01/24/2022
Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa
In ecology it has become common to apply DNA barcoding to biological sam...
research
∙
11/12/2020
Bayesian nonparametric modelling of sequential discoveries
We aim at modelling the appearance of distinct tags in a sequence of lab...
research
∙
09/25/2020
Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
Network data often exhibit block structures characterized by clusters of...
research
∙
07/16/2020
Extended Stochastic Block Models
Stochastic block models (SBM) are widely used in network science due to ...
research
∙
06/09/2020
A generalized Bayes framework for probabilistic clustering
Loss-based clustering methods, such as k-means and its variants, are sta...
research
∙
03/27/2020
Enriched Pitman-Yor processes
In Bayesian nonparametrics there exists a rich variety of discrete prior...
research
∙
07/04/2019
An enriched mixture model for functional clustering
There is an increasingly rich literature about Bayesian nonparametric mo...
research
∙
11/19/2017