5 citations · 10 across the 12 of their papers we have counts for
13 papers
Testing Additivity of Lead and Benzo[a]pyrene-induced Neurotoxicity in Caenorhabditis elegans Assays
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…
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…
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…
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…
Scalable expectation propagation for generalized linear models
Niccolò Anceschi, Augusto Fasano, Beatrice Franzolini +1
Generalized linear models (GLMs) arguably represent the standard approach for statistical regression beyond the Gaussian likelihood scenario. When Bayesian formulations are employe…
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…
Expectation propagation for the smoothing distribution in dynamic probit
Niccolò Anceschi, Augusto Fasano, Giovanni Rebaudo
The smoothing distribution of dynamic probit models with Gaussian state dynamics was recently proved to belong to the unified skew-normal family. Although this is computationally t…
Efficient computation of predictive probabilities in probit models via expectation propagation
Augusto Fasano, Niccolò Anceschi, Beatrice Franzolini +1
Binary regression models represent a popular model-based approach for binary classification. In the Bayesian framework, computational challenges in the form of the posterior distri…
Efficient expectation propagation for posterior approximation in high-dimensional probit models
Augusto Fasano, Niccolò Anceschi, Beatrice Franzolini +1
Bayesian binary regression is a prosperous area of research due to the computational challenges encountered by currently available methods either for high-dimensional settings or l…
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results
Niccolò Anceschi, Augusto Fasano, Daniele Durante +1
A broad class of models that routinely appear in several fields can be expressed as partially or fully discretized Gaussian linear regressions. Besides including basic Gaussian res…
Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution
Augusto Fasano, Giovanni Rebaudo, Niccolò Anceschi
Multinomial probit (mnp) models are fundamental and widely-applied regression models for categorical data. Fasano and Durante (2022) proved that the class of unified skew-normal di…
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…
How neutral and niche forces contribute to speciation processes?
Niccolo Anceschi, Jorge Hidalgo, Tommaso Bellini +2
The evolutionary and ecological processes behind the origin of species are among the most fundamental problems in biology. In fact, many theoretical hypothesis on different type of…