collaborators

5 papers

stat.AP2026

Testing Additivity in Lead and Benzo[a]pyrene-induced Neurodegeneration in Caenorhabditis elegans

Niccolo Anceschi, Javier Huayta, Joel N. Meyer +2

Exposure to environmental contaminants is a recognized cause of neurotoxicity, contributing to the onset of a broad range of neurological conditions. In realistic settings, such ex…

stat.AP2026

Order-Restricted Bayesian Ordinal Regression for the Modeling of Neuron Degeneration in Caenorhabditis elegans

Rick Presman, Niccolo Anceschi, Javier Huayta +2

Neuron degeneration is the underlying mechanism for the development of many diseases. Quantifying the association between increasing levels of toxic exposure and progressive neuron…

stat.ME2026

Spectral decomposition-assisted multi-study factor analysis

Lorenzo Mauri, Niccolò Anceschi, David B. Dunson

This article focuses on covariance estimation for multi-study data. Popular approaches employ factor-analytic terms with shared and study-specific loadings that decompose the varia…

stat.ML2026

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…

stat.ML2025

Optimal and computationally tractable lower bounds for logistic log-likelihoods

Niccolò Anceschi, Cristian Castiglione, Tommaso Rigon +2

The logit transform is arguably the most widely-employed link function beyond linear settings. This transformation routinely appears in regression models for binary data and provid…