Image de couverture de livre

Scalable skewed Bayesian inference for latent Gaussian models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dutta, Shourya, van Niekerk, Janet, Rue, Haavard
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A new avenue for Bayesian inference with INLA
par: van Niekerk, Janet, et autres
Publié: (2022)

Leave-group-out cross-validation for latent Gaussian models
par: Liu, Zhedong, et autres
Publié: (2022)

A Bayesian regression framework for circular models with INLA
par: Ye, Xiang, et autres
Publié: (2026)

Low-rank variational Bayes correction to the Laplace method
par: van Niekerk, Janet, et autres
Publié: (2021)

Spatial Gaussian fields for complex areas with application to marine megafauna conservation
par: Heyl, Martina Le-Bert, et autres
Publié: (2025)

Penalizing complexity priors for Bayesian inference of circular models
par: Ye, Xiang, et autres
Publié: (2025)

A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
par: Martínez-Minaya, Joaquín, et autres
Publié: (2023)

Bayesian survival analysis with INLA
par: Alvares, Danilo, et autres
Publié: (2022)

Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes
par: Papastathopoulos, Ioannis, et autres
Publié: (2023)

Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
par: Rustand, Denis, et autres
Publié: (2022)

A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
par: Neto, Dionisio Silva, et autres
Publié: (2025)

A graphical framework for interpretable correlation matrix models
par: Sterrantino, Anna Freni, et autres
Publié: (2023)

Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
par: Rustand, Denis, et autres
Publié: (2024)

A robust contaminated discrete Weibull regression model for outlier-prone count data
par: Burger, Divan A., et autres
Publié: (2025)

A flexible wrapped Lindley-type distribution for angular data modelling
par: Ferreira, Johan, et autres
Publié: (2026)

Bayesian inference for scale mixtures of skew-normal linear models under the centered parameterization
par: de Freitas, João Victor B., et autres
Publié: (2024)

inlabru: software for fitting latent Gaussian models with non-linear predictors
par: Lindgren, Finn, et autres
Publié: (2024)

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
par: He, Junhui, et autres
Publié: (2024)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
par: Rustand, Denis, et autres
Publié: (2026)

Spatially continuous modelling of aggregated outcome data
par: Villejo, Stephen Jun, et autres
Publié: (2026)

Variational inference for hierarchical models with conditional scale and skewness corrections
par: Kock, Lucas, et autres
Publié: (2025)

Bayesian analysis of nonlinear structured latent factor models using a Gaussian Process Prior
par: Zhang, Yimang, et autres
Publié: (2025)

Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations
par: Jamil, Haziq, et autres
Publié: (2026)

Robust inference for linear regression models with possibly skewed error distribution
par: Nandy, Amarnath, et autres
Publié: (2024)

Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions
par: Dutta, Srimanti, et autres
Publié: (2024)

Scalable Bayesian inference on high-dimensional multivariate linear regression
par: Cao, Xuan, et autres
Publié: (2025)

Bayesian models for missing and misclassified variables using integrated nested Laplace approximations
par: Skarstein, Emma, et autres
Publié: (2024)

Opaque prior distributions in Bayesian latent variable models
par: Merkle, Edgar C., et autres
Publié: (2023)

Estimation and inference of high-dimensional partially linear regression models with latent factors
par: Shi, Yanmei, et autres
Publié: (2025)

Variational inference based on a subclass of closed skew normals
par: Tan, Linda S. L., et autres
Publié: (2023)

Finite population inference for skewness measures
par: Pasquazzi, Leo
Publié: (2024)

High-dimensional inference for single-index model with latent factors
par: Shi, Yanmei, et autres
Publié: (2025)

Scalable Bayesian inference for time series via divide-and-conquer
par: Ou, Rihui, et autres
Publié: (2021)

A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
par: Sogan, Roland B., et autres
Publié: (2026)

DGP-LVM: Derivative Gaussian process latent variable models
par: Mukherjee, Soham, et autres
Publié: (2024)

Bayesian inference for velocity-jump models for movement
par: Blackwell, Paul G.
Publié: (2025)

Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
par: Fazio, Luna, et autres
Publié: (2024)

Outlier-robust copula regression for bivariate continuous proportions: an application to cushion plant vitality
par: Burger, Divan A., et autres
Publié: (2025)

Bayesian identification of early warning signals for long-range dependent climatic time series
par: Sørbye, Sigrunn H., et autres
Publié: (2026)

Efficient Bayesian inference for two-stage models in environmental epidemiology
par: Larin, Konstantin, et autres
Publié: (2025)