Cover Image

Sparse Bayesian multidimensional scaling(s)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheth, Ami, Smith, Aaron, Holbrook, Andrew J.
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast approximate Bayesian multidimensional scaling with consistency guarantees
by: Sheth, Ami, et al.
Published: (2026)

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks
by: Glatt-Holtz, Nathan E., et al.
Published: (2024)

Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
by: Chin, Andrew, et al.
Published: (2026)

Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)

Bayesian Stability Selection and Inference on Selection Probabilities
by: Nouraie, Mahdi, et al.
Published: (2024)

Propagating Surrogate Uncertainty in Bayesian Inverse Problems
by: Roberts, Andrew Gerard, et al.
Published: (2026)

Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)

Recommendations for visual predictive checks in Bayesian workflow
by: Säilynoja, Teemu, et al.
Published: (2025)

Sparse Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2026)

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)

Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

Permutations accelerate Approximate Bayesian Computation
by: Luciano, Antoine, et al.
Published: (2025)

Improving the stability of the covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
by: Wei, Jiani, et al.
Published: (2025)

Calibration procedures for approximate Bayesian credible sets
by: Lee, Jeong Eun, et al.
Published: (2018)

Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
by: Han, Geonhee, et al.
Published: (2025)

Pochhammer Priors for Sparse Count Models
by: Wang, Yuexi, et al.
Published: (2024)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
by: Liu, Yang, et al.
Published: (2020)

Fast Bayesian inference in a class of sparse linear mixed effects models
by: Spyropoulou, M-Z., et al.
Published: (2024)

Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks
by: Promskaia, Iuliia, et al.
Published: (2024)

spar: Sparse Projected Averaged Regression in R
by: Parzer, Roman, et al.
Published: (2024)

Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)

Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process
by: Ross, Gordon J., et al.
Published: (2026)

Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data
by: Ishida, Sahoko, et al.
Published: (2023)

Sampling the Bayesian Elastic Net
by: Hans, Christopher M., et al.
Published: (2024)

Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)

Robustifying Approximate Bayesian Computation
by: Weerasinghe, Chaya, et al.
Published: (2025)

Generative Quantile Bayesian Prediction
by: Nareklishvili, Maria, et al.
Published: (2025)

Hierarchical Bayesian data selection
by: Cotter, Simon L.
Published: (2022)

Bayesian Multivariate Sparse Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2025)

Bayesian variable selection in sample selection models using spike-and-slab priors
by: Iqbal, Adam J., et al.
Published: (2023)

Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models
by: Li, Xiahui, et al.
Published: (2024)

Bayesian Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2024)

Bayesian Compressed Mixed-Effects Models
by: Sarkar, Sreya, et al.
Published: (2025)

Generalized Bayesian Likelihood-Free Inference
by: Pacchiardi, Lorenzo, et al.
Published: (2021)

Graph-based Square-Root Estimation for Sparse Linear Regression
by: Li, Peili, et al.
Published: (2024)

Differential Equation-Constrained Local Regression for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2025)

Entropy Adjusted Graphical Lasso for Sparse Precision Matrix Estimation
by: Avagyan, Vahe
Published: (2025)