Image de couverture de livre

Pathway-based Bayesian factor models for 'omics data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mauri, Lorenzo, Stolf, Federica, Herring, Amy H., Miller, Cameron, Dunson, David B.
Format:	Preprint
Publié:	2026
Sujets:	Methodology Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
par: Nguyen, Phuc H., et autres
Publié: (2025)

Infinite joint species distribution models
par: Stolf, Federica, et autres
Publié: (2024)

A Bayesian theory for estimation of biodiversity
par: Rigon, Tommaso, et autres
Publié: (2025)

Bayesian modeling of nearly mutually orthogonal processes
par: Matuk, James, et autres
Publié: (2022)

Local graph estimation with pathwise false discovery control
par: Melikechi, Omar, et autres
Publié: (2025)

Low-rank longitudinal factor regression with application to chemical mixtures
par: Palmer, Glenn, et autres
Publié: (2023)

Marginally interpretable spatial logistic regression with bridge processes
par: Lee, Changwoo J., et autres
Publié: (2024)

Factor pre-training in Bayesian multivariate logistic models
par: Mauri, Lorenzo, et autres
Publié: (2024)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
par: Datta, Jyotishka, et autres
Publié: (2023)

Nonparametric IPSS: Fast, flexible feature selection with false discovery control
par: Melikechi, Omar, et autres
Publié: (2024)

Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data
par: Jin, Bora, et autres
Publié: (2022)

Coarsened data in small area estimation: a Bayesian two-part model for mapping smoking behaviour
par: Gardini, Aldo, et autres
Publié: (2026)

Feature aware covariance estimation, with application to mixtures of chemical exposures
par: Bersson, Elizabeth, et autres
Publié: (2025)

Link prediction in ecological networks under extreme taxonomic bias
par: Kampe, Jennifer N., et autres
Publié: (2025)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
par: Peruzzi, Michele, et autres
Publié: (2021)

Identifiable and interpretable nonparametric factor analysis
par: Xu, Maoran, et autres
Publié: (2023)

Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania
par: Dombowsky, Alexander, et autres
Publié: (2024)

A brief introduction on latent variable based ordinal regression models with an application to survey data
par: Wieditz, Johannes, et autres
Publié: (2023)

Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
par: Hermansen, Tobias Østmo, et autres
Publié: (2025)

Combining chains of Bayesian models with Markov melding
par: Manderson, Andrew A., et autres
Publié: (2021)

Inference on covariance structure in high-dimensional multi-view data
par: Mauri, Lorenzo, et autres
Publié: (2025)

A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence
par: Johny, Manju, et autres
Publié: (2025)

Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators
par: Padgett, R. Noah, et autres
Publié: (2023)

A Bayesian multivariate model with temporal dependence on random partition of areal data
par: Pavani, Jessica, et autres
Publié: (2024)

Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
par: Gelman, Andrew, et autres
Publié: (2019)

Bayesian models are better than frequentist models in identifying differences in small datasets comprising phonetic data
par: Georgiou, Georgios P.
Publié: (2023)

Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
par: Vollert, Sarah A., et autres
Publié: (2025)

Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
par: Castel, Charlotte, et autres
Publié: (2024)

Spatiotemporal factor models for functional data with application to population map forecast
par: Wakayama, Tomoya, et autres
Publié: (2023)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
par: Chen, David, et autres
Publié: (2024)

Improving prediction models by incorporating external data with weights based on similarity
par: Behrens, Max, et autres
Publié: (2024)

A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data
par: D'Angelo, Laura, et autres
Publié: (2024)

Bayesian semiparametric modelling of biomarker variability in joint models
par: Chen, Sida, et autres
Publié: (2025)

Bayesian Network Propensity Score to Evaluate Treatment Effects in Observational Studies
par: Di Serio, Clelia, et autres
Publié: (2025)

A Bayesian modelling framework for health care resource use and costs in trial-based economic evaluations
par: Gabrio, Andrea
Publié: (2024)

Bayesian Evidence Synthesis for the common effect model
par: Nikolakopoulos, Stavros, et autres
Publié: (2021)

Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process
par: Marin, Santiago, et autres
Publié: (2026)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
par: Bhandari, Saurabh, et autres
Publié: (2025)

A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
par: Pitt, Matilda, et autres
Publié: (2026)

Spectral decomposition-assisted multi-study factor analysis
par: Mauri, Lorenzo, et autres
Publié: (2025)