:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yao, Xiao, Jianhui, Ning, Hong, Qin
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	https://arxiv.org/abs/2406.11306
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
par: Basson, Marno, et autres
Publié: (2026)

Energetic Variational Gaussian Process Regression for Computer Experiments
par: Kang, Lulu, et autres
Publié: (2023)

Revisiting Bayesian Variable Selection via Optimization
par: Duan, Leo L
Publié: (2026)

Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
par: Leadbetter, Ryan, et autres
Publié: (2024)

Bayesian Variable Selection with the Quasi-Posterior
par: Hadj-Amar, Beniamino, et autres
Publié: (2026)

Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
par: Tan, Yu, et autres
Publié: (2025)

Bayesian Bridge Gaussian Process Regression
par: Xu, Minshen, et autres
Publié: (2025)

Bayesian Variable Selection and Sparse Estimation for High-Dimensional Graphical Models
par: Chakravarti, Anwesha, et autres
Publié: (2024)

Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
par: Kundu, Debamita, et autres
Publié: (2019)

Bayesian Analysis of Sigmoidal Gaussian Cox Processes via Data Augmentation
par: Alie, Renaud, et autres
Publié: (2022)

Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
par: Ye, Shengbin, et autres
Publié: (2025)

Quantile Forecast Matching with a Bayesian Quantile Gaussian Process Model
par: Wadsworth, Spencer, et autres
Publié: (2025)

Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
par: Li, Moyan, et autres
Publié: (2024)

Flexible Modeling of Demographic Transition Processes with a Bayesian Hierarchical B-splines Model
par: Susmann, Herbert, et autres
Publié: (2023)

Sequential Hierarchical Regression Imputation with Variable Selection Routines
par: Li, Qiushuang, et autres
Publié: (2025)

Approximate Bayesian Computation with Statistical Distances for Model Selection
par: Grazian, Clara
Publié: (2024)

Profile Bayesian Optimization for Expensive Computer Experiments
par: Kyger, Courtney, et autres
Publié: (2025)

Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
par: Polson, Nick, et autres
Publié: (2026)

Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data
par: Zou, Jungang, et autres
Publié: (2022)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
par: Ding, Feng, et autres
Publié: (2024)

Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
par: Sousa, Pedro Henrique T. O., et autres
Publié: (2023)

An Online Algorithm for Bayesian Variable Selection in Logistic Regression Models With Streaming Data
par: Ghosal, Payel, et autres
Publié: (2025)

Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
par: Focardi-Olmi, Lorenzo, et autres
Publié: (2024)

Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
par: Apfel, Nicolas, et autres
Publié: (2021)

A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
par: Tang, Dandan, et autres
Publié: (2025)

Deep Gaussian Process Emulation and Uncertainty Quantification for Large Computer Experiments
par: Yazdi, Faezeh, et autres
Publié: (2024)

Spatial Knockoff Bayesian Variable Selection in Genome-Wide Association Studies
par: Van Ee, Justin J., et autres
Publié: (2024)

Bayesian Variable Selection on Small Sample Trial Data via Adaptive Posterior-Informed Shrinkage Prior
par: Kong, Lingxuan, et autres
Publié: (2025)

Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
par: Franzolini, Beatrice, et autres
Publié: (2022)

Bayesian Causal Inference with Gaussian Process Networks
par: Giudice, Enrico, et autres
Publié: (2024)

A Bayesian Take on Gaussian Process Networks
par: Giudice, Enrico, et autres
Publié: (2023)

Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
par: Ma, Guoxuan, et autres
Publié: (2023)

Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
par: Yu, Cheng-Han, et autres
Publié: (2020)

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
par: Ghosh, Joyee, et autres
Publié: (2025)

A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks
par: Baghfalaki, Taban, et autres
Publié: (2024)

High-Dimensional Mediation Analysis for Generalized Linear Models Using Bayesian Variable Selection Guided by Mediator Correlation
par: Bae, Youngho, et autres
Publié: (2026)

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

On the Choice of Model Space Priors and Multiplicity Control in Bayesian Variable Selection: An Application to Streaming Logistic Regression
par: Ghosh, Joyee
Publié: (2025)

Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
par: Wang, Emily T., et autres
Publié: (2022)

Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
par: Henry, Teague R., et autres
Publié: (2018)