Imagen de Portada

Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng, Yu, Duan, Leo L.
Formato:	Preprint
Publicado:	2023
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Statistical Modeling of Combinatorial Response Data
por: Zheng, Yu, et al.
Publicado: (2025)

Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and Pólya-Gamma Augmentation
por: Tamano, Shu, et al.
Publicado: (2025)

Insufficient Gibbs Sampling
por: Luciano, Antoine, et al.
Publicado: (2023)

Exact Sampling of Spanning Trees via Fast-forwarded Random Walks
por: Tam, Edric, et al.
Publicado: (2024)

Consistent Model-based Clustering: using the Quasi-Bernoulli Stick-Breaking Process
por: Zeng, Cheng, et al.
Publicado: (2020)

Fast Gibbs Sampling on Bayesian Hidden Markov Model with Missing Observations
por: Li, Dongrong, et al.
Publicado: (2026)

Efficient and Fast Sampling from Arbitrary Probability Kernels using Sliced Gibbs Sampler
por: Ghosh, Prithwish, et al.
Publicado: (2026)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
por: Zeng, Cheng, et al.
Publicado: (2025)

Revisiting Bayesian Variable Selection via Optimization
por: Duan, Leo L
Publicado: (2026)

Graphical Model-based Inference on Persistent Homology
por: Wu, Zitian, et al.
Publicado: (2025)

A Gibbs Sampling Scheme for a Generalised Poisson-Kingman Class
por: Griffiths, Robert C., et al.
Publicado: (2024)

Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
por: Duan, Leo L, et al.
Publicado: (2026)

Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
por: Yu, Jin-Zhu, et al.
Publicado: (2022)

Exact Sampling of Gibbs Measures with Estimated Losses
por: Frazier, David T., et al.
Publicado: (2024)

Large Language Models for Statistical Inference: Context Augmentation with Applications to the Two-Sample Problem and Regression
por: Ratkovic, Marc
Publicado: (2025)

Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
por: Zeng, Cheng, et al.
Publicado: (2025)

Sequential Gibbs Posteriors with Applications to Principal Component Analysis
por: Winter, Steven, et al.
Publicado: (2023)

Bayesian Analysis of Sigmoidal Gaussian Cox Processes via Data Augmentation
por: Alie, Renaud, et al.
Publicado: (2022)

Efficient Implementations of Extended Object PMBM Filters with Blocked Gibbs Sampling
por: Xia, Yuxuan, et al.
Publicado: (2026)

Relaxation of Projected Prior with Continuous Gap Shrinkage
por: Duan, Leo L, et al.
Publicado: (2026)

Gibbs optimal design of experiments
por: Overstall, Antony M., et al.
Publicado: (2023)

Particle Gibbs without the Gibbs bit
por: Corenflos, Adrien
Publicado: (2025)

Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
por: Wang, Shuwan, et al.
Publicado: (2025)

Nested Sampling with Slice-within-Gibbs: Efficient Evidence Calculation for Hierarchical Bayesian Models
por: Yallup, David
Publicado: (2026)

Gibbs sampling for Bayesian P-splines
por: Gressani, Oswaldo, et al.
Publicado: (2024)

Bayesian Stacking via Proper Scoring Rule Optimization using a Gibbs Posterior
por: Wadsworth, Spencer, et al.
Publicado: (2025)

Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler
por: Ke, Xiongwen, et al.
Publicado: (2024)

A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
por: Gosnell, Arron, et al.
Publicado: (2024)

Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
por: Raim, Andrew M., et al.
Publicado: (2025)

Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics
por: de Souza, Douglas Baptista, et al.
Publicado: (2024)

Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
por: Zeng, Cheng, et al.
Publicado: (2024)

Dynamic Models Augmented by Hierarchical Data: An Application Of Estimating HIV Epidemics At Sub-National And Sub-Population Level
por: Bao, Le, et al.
Publicado: (2024)

Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
por: Dale, Reid, et al.
Publicado: (2026)

A Semiparametric Gaussian Mixture Model with Spatial Dependence and Its Application to Whole-Slide Image Clustering Analysis
por: Yu, Baichen, et al.
Publicado: (2025)

Partial correlation networks of Gaussian processes
por: Peruzzi, Michele
Publicado: (2026)

Data fusion using weakly aligned sources
por: Li, Sijia, et al.
Publicado: (2023)

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
por: Moufad, Badr, et al.
Publicado: (2025)

Gaussian copula correlation network analysis with application to multi-omics data
por: Tomilina, Ekaterina, et al.
Publicado: (2025)

Sparsity meets correlation in Gaussian sequence model
por: Kotekal, Subhodh, et al.
Publicado: (2023)

Functional Gaussian Graphical Regression Models For Air Quality Data
por: Fici, Rita, et al.
Publicado: (2024)