Imagen de Portada

An MCMC hypothesis test to check a claimed sampler: applied to a claimed sampler for the G-Wishart distribution

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tjelmeland, Håkon, Kvaløy, Hanna Bu
Formato:	Preprint
Publicado:	2025
Materias:	Computation
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems
por: Corenflos, Adrien, et al.
Publicado: (2023)

Multivariate strong invariance principle and uncertainty assessment for time in-homogeneous cyclic MCMC samplers
por: Li, Haoxiang, et al.
Publicado: (2024)

Sparsifying transform priors in Gaussian graphical models
por: Gehrmann, Marcus, et al.
Publicado: (2026)

Choosing the right MCMC sampler: a systematic benchmark of gradient-free methods
por: Poppelaars, Colin M., et al.
Publicado: (2026)

Theoretical guarantees for lifted samplers
por: Gagnon, Philippe, et al.
Publicado: (2024)

Repetition effects in a Sequential Monte Carlo sampler
por: Cannon, Sarah, et al.
Publicado: (2024)

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
por: V, Venktesh, et al.
Publicado: (2024)

Bypassing orthogonalization in the quantum DPP sampler
por: Fanuel, Michaël, et al.
Publicado: (2025)

On the complexity of standard and waste-free SMC samplers
por: Fay, Yvann Le, et al.
Publicado: (2026)

Complexity bounds for Dirichlet process slice samplers
por: Franzolini, Beatrice, et al.
Publicado: (2026)

Blocked Gibbs sampler for hierarchical Dirichlet processes
por: Das, Snigdha, et al.
Publicado: (2023)

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

Scalable Bayesian seismic wavelet estimation
por: Guillermina Senn, et al.
Publicado: (2025)

Global convergence of optimized adaptive importance samplers
por: Akyildiz, Ömer Deniz
Publicado: (2022)

HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models
por: Meng, Tingwei, et al.
Publicado: (2024)

The Gibbs sampler revisited from the perspective of conditional modeling
por: Kuo, Kun-Lin, et al.
Publicado: (2024)

An asymptotic Peskun ordering and its application to lifted samplers
por: Gagnon, Philippe, et al.
Publicado: (2020)

Multiproposal Elliptical Slice Sampling
por: Senn, Guillermina, et al.
Publicado: (2026)

Bayesian Semi-Blind Deconvolution at Scale
por: Senn, Guillermina, et al.
Publicado: (2026)

Debiasing Piecewise Deterministic Markov Process samplers using couplings
por: Corenflos, Adrien, et al.
Publicado: (2023)

New affine invariant ensemble samplers and their dimensional scaling
por: Chen, Yifan
Publicado: (2025)

Entropy contraction of the Gibbs sampler under log-concavity
por: Ascolani, Filippo, et al.
Publicado: (2024)

An atomic boson sampler
por: Young, Aaron W., et al.
Publicado: (2023)

The occlusion process: improving sampler performance with parallel computation and variational approximation
por: Hird, Max, et al.
Publicado: (2024)

Weak Poincaré inequalities for Deterministic-scan Metropolis-within-Gibbs samplers
por: Gao, Mengxi, et al.
Publicado: (2026)

LEAPS: A discrete neural sampler via locally equivariant networks
por: Holderrieth, Peter, et al.
Publicado: (2025)

A fast non-reversible sampler for Bayesian finite mixture models
por: Ascolani, Filippo, et al.
Publicado: (2025)

Adaptive teachers for amortized samplers
por: Kim, Minsu, et al.
Publicado: (2024)

Accelerated Schrödinger-Föllmer samplers
por: Lin, Haotian, et al.
Publicado: (2026)

Trawl-board sediment sampler
por: Butler, T. H., Sheldon, R. W
Publicado: (1969)

Learning few-step posterior samplers by unfolding and distillation of diffusion models
por: Mbakam, Charlesquin Kemajou, et al.
Publicado: (2025)

Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
por: Molina-Taborda, Ana, et al.
Publicado: (2024)

Dynamic data sampler for cross-language transfer learning in large language models
por: Li, Yudong, et al.
Publicado: (2024)

Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
por: Pesonen, Henri, et al.
Publicado: (2023)

Streaming problems as (multi-issue) claims problems
por: Bergantiños, Gustavo, et al.
Publicado: (2024)

Are most sentences unique? An empirical examination of Chomskyan claims
por: Ring, Hiram
Publicado: (2025)

Validation tests of Gaussian boson samplers with photon-number resolving detectors
por: Dellios, Alexander S., et al.
Publicado: (2024)

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
por: Ascolani, Filippo, et al.
Publicado: (2025)

Fabrication of a water sampler for use in aquaculture
por: Saha, C., et al.
Publicado: (1988)

Extensions of the solidarity principle of the spectral gap for Gibbs samplers to their blocked and collapsed variants
por: Mak, Xavier, et al.
Publicado: (2026)