Image de couverture de livre

Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vinciotti, Veronica, Behrouzi, Pariya, Mohammadi, Reza
Format:	Preprint
Publié:	2022
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Joint Learning from Heterogeneous Rank Data
par: Hermes, Sjoerd, et autres
Publié: (2024)

A Spatial Autoregressive Graphical Model with Applications in Intercropping
par: Hermes, Sjoerd, et autres
Publié: (2023)

Multi-Attribute Preferences: A Transfer Learning Approach
par: Hermes, Sjoerd, et autres
Publié: (2024)

Hierarchical Causal Structure Learning
par: Hermes, Sjoerd, et autres
Publié: (2025)

Multi-omics network reconstruction with collaborative graphical lasso
par: Albanese, Alessio, et autres
Publié: (2024)

Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
par: Mohammadi, Reza, et autres
Publié: (2023)

Loglinear modelling of huge contingency tables
par: Vinciotti, Veronica, et autres
Publié: (2026)

Gaussian Graphical Models for Partially Observed Multivariate Functional Data
par: Borriero, Marco, et autres
Publié: (2025)

Hyperevent network modelling of partially observed gossip data
par: Poda, Veronica, et autres
Publié: (2025)

A unified approach to penalized likelihood estimation of covariance matrices in high dimensions
par: Cibinel, Luca, et autres
Publié: (2024)

Random graphical model of microbiome interactions in related environments
par: Vinciotti, Veronica, et autres
Publié: (2023)

Causal generalized linear models via Pearson risk invariance
par: Polinelli, Alice, et autres
Publié: (2024)

Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
par: Vogels, Lucas, et autres
Publié: (2023)

Latent event history models for quasi-reaction systems
par: Framba, Matteo, et autres
Publié: (2023)

Inferring the dynamics of quasi-reaction systems via nonlinear local mean-field approximations
par: Framba, Matteo, et autres
Publié: (2024)

Causal drivers of dynamic networks
par: Lembo, Melania, et autres
Publié: (2025)

Relational event models with global covariates
par: Lembo, Melania, et autres
Publié: (2024)

Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis
par: Nadifar, Mahsa, et autres
Publié: (2025)

Bayesian Covariate-Varying Interaction Analysis for Multivariate Count Data: Application to Microbiome Studies
par: Zhang, Shuangjie, et autres
Publié: (2026)

Marginal Likelihood Inference for Fitting Dynamical Survival Analysis Models to Epidemic Count Data
par: Roy, Suchismita, et autres
Publié: (2026)

Multiple Jump MCMC: A Scalable Algorithm for Bayesian Inference on Binary Model Spaces
par: Vogels, Lucas, et autres
Publié: (2026)

Sparse Bayesian Partially Identified Models for Sequence Count Data
par: Gu, Won, et autres
Publié: (2025)

Marginal Analysis of Count Time Series in the Presence of Missing Observations
par: Nik, Simon
Publié: (2024)

A Bayesian Joint Modelling of Current Status and Current Count Data
par: Hariharan, Pavithra, et autres
Publié: (2024)

Exact Simulation of Longitudinal Data from Marginal Structural Models
par: Lin, Xi, et autres
Publié: (2025)

Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
par: Sørensen, Øystein
Publié: (2026)

Non-Parametric Bayesian Inference for Partial Orders with Ties from Rank Data observed with Mallows Noise
par: Chuxuan, et autres
Publié: (2024)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
par: Florez, Mauro, et autres
Publié: (2024)

Estimate Time-Varying Exposure Effects via Ensemble Learning-based Marginal Structural Model with Application to Adolescent Cognitive Development Study
par: Zhao, Zhiwei, et autres
Publié: (2025)

A Semi-Parametric Torus-to-Torus Regression Model with Geometric Loss: Application to Cyclone Data
par: Biswas, Surojit, et autres
Publié: (2025)

Bayesian Parametric Methods for Deriving Distribution of Restricted Mean Survival Time
par: Hanada, Keisuke, et autres
Publié: (2024)

Bayesian Non-Parametric Inference for Lévy Measures in State-Space Models
par: Lin, Bill Z., et autres
Publié: (2025)

Marginal Structural Modeling of Representative Treatment Trajectories
par: Liu, Jiewen, et autres
Publié: (2024)

Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
par: Yu, Jin-Zhu, et autres
Publié: (2022)

Effective Bayesian Modeling of Large Spatiotemporal Count Data Using Autoregressive Gamma Processes
par: Cheng, Yifan, et autres
Publié: (2025)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)

Bayesian Covariance Structure Modeling of Multi-Way Nested Data
par: Baas, Stef, et autres
Publié: (2022)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
par: Lee, JoonHo
Publié: (2026)

Bayesian Effect Selection in Additive Models with an Application to Time-to-Event Data
par: Bach, Paul, et autres
Publié: (2024)

Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
par: Bockting, Florence, et autres
Publié: (2023)