Cover Image

To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	van Leeuwen, Florian D., van Erp, Sara
Format:	Preprint
Published:	2025
Subjects:	Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Control Variates for MCMC
by: South, Leah, et al.
Published: (2024)

Improved MCMC with active subspaces
by: Ripoli, Leonardo, et al.
Published: (2025)

Exact MCMC for Intractable Proposals
by: Kakkad, Dwija, et al.
Published: (2024)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
by: Beraha, Mario, et al.
Published: (2023)

Stochastic Gradient MCMC for Massive Geostatistical Data
by: Abba, Mohamed A., et al.
Published: (2024)

Sensitivity of MCMC-based analyses to small-data removal
by: Nguyen, Tin D., et al.
Published: (2024)

MCMC Importance Sampling via Moreau-Yosida Envelopes
by: Shukla, Apratim, et al.
Published: (2025)

A Framework to Analyze Multiscale Sampling MCMC Methods
by: Seiffert, Lucas, et al.
Published: (2025)

Gaussian Approximation and Output Analysis for High-Dimensional MCMC
by: Pengel, Ardjen, et al.
Published: (2024)

Similarity-Driven Proposals for MCMC Algorithms on Discrete Spaces
by: Aiello, Luca, et al.
Published: (2026)

Intrepid MCMC: Metropolis-Hastings with Exploration
by: Chakroborty, Promit, et al.
Published: (2024)

Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions
by: Bergh, Don van den, et al.
Published: (2026)

MCMC for State Space models
by: Fearnhead, Paul, et al.
Published: (2025)

Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
by: Berchuck, Samuel I., et al.
Published: (2024)

Restricted Search Space Graph MCMC via Birth-Death Processes
by: Greenberg, Morris, et al.
Published: (2026)

Novel Bayesian algorithms for ARFIMA long-memory processes: a comparison between MCMC and ABC approaches
by: Gabor, James Cohen, et al.
Published: (2024)

A geometric approach to informed MCMC sampling
by: Roy, Vivekananda
Published: (2024)

Modeling Complex Life Systems: Bayesian Inference for Weibull Failure Times Using Adaptive MCMC
by: Oketch, Tobias, et al.
Published: (2025)

Graph-Enabled Fast MCMC Sampling with an Unknown High-Dimensional Prior Distribution
by: Zhong, Chenyang, et al.
Published: (2024)

Convergence Rate of Efficient MCMC with Ancillarity-Sufficiency Interweaving Strategy for Panel Data Models
by: Nakakita, Makoto, et al.
Published: (2025)

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
by: Lee, Jong Hyeon, et al.
Published: (2025)

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

Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows
by: Hu, Jun
Published: (2026)

Multiple Jump MCMC: A Scalable Algorithm for Bayesian Inference on Binary Model Spaces
by: Vogels, Lucas, et al.
Published: (2026)

Spectral subsampling MCMC for Lévy-driven continuous-time ARMA models with expensive likelihood contributions
by: Goodwin, Thomas, et al.
Published: (2026)

Hybrid Geometry-Adaptive MCMC for Bayesian Inference in Higher-Order Ising Models
by: Osabutey, Godwin, et al.
Published: (2024)

Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025)

Bias correction of posterior means using MCMC outputs
by: Iba, Yukito
Published: (2024)

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
by: Cabezas, Alberto, et al.
Published: (2024)

On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
by: Bouton, Maxime, et al.
Published: (2025)

Theoretical guarantees for neural control variates in MCMC
by: Belomestny, Denis, et al.
Published: (2023)

An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
by: Fales, Kaitlyn R., et al.
Published: (2026)

Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
by: Hepler, Staci, et al.
Published: (2025)

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
by: Chin, Andrew, et al.
Published: (2024)

MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
by: Meng, Xianghao, et al.
Published: (2026)

Self-Certifying Transport MCMC via Dual Spectral-Gap Certificates
by: Hu, Jun
Published: (2026)

Zig-zag sampling for discrete structures and non-reversible phylogenetic MCMC
by: Koskela, Jere
Published: (2020)

Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC
by: Gill, Alicia, et al.
Published: (2023)