5 citations · 6 across the 3 of their papers we have counts for
5 papers
Bayesian Joint Additive Factor Models for Multiview Learning
Niccolo Anceschi, Federico Ferrari, David B. Dunson +1
It is increasingly common to collect data of multiple different types on the same set of samples. Our focus is on studying relationships between such multiview features and respons…
Efficiently resolving rotational ambiguity in Bayesian matrix sampling with matching
Evan Poworoznek, Niccolo Anceschi, Federico Ferrari +1
A wide class of Bayesian models involve unidentifiable random matrices that display rotational ambiguity, with the Gaussian factor model being a typical example. A rich variety of…
Identifying main effects and interactions among exposures using Gaussian processes
Federico Ferrari, David B. Dunson
This article is motivated by the problem of studying the joint effect of different chemical exposures on human health outcomes. This is essentially a nonparametric regression probl…
Nonparametric Bayesian multi-armed bandits for single cell experiment design
Federico Camerlenghi, Bianca Dumitrascu, Federico Ferrari +2
The problem of maximizing cell type discovery under budget constraints is a fundamental challenge for the collection and analysis of single-cell RNA-sequencing (scRNA-seq) data. In…
Bayesian Factor Analysis for Inference on Interactions
Federico Ferrari, David B Dunson
This article is motivated by the problem of inference on interactions among chemical exposures impacting human health outcomes. Chemicals often co-occur in the environment or in sy…