Cover Image

On spectral gap decomposition for Markov chains

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Qin, Qian
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Probability 60J05
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spectral gap bounds for reversible hybrid Gibbs chains
by: Qin, Qian, et al.
Published: (2023)

Convergence Bounds for Monte Carlo Markov Chains
by: Qin, Qian
Published: (2024)

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

Geometric ergodicity of trans-dimensional Markov chain Monte Carlo algorithms
by: Qin, Qian
Published: (2023)

Robust estimation of a Markov chain transition matrix from multiple sample paths
by: Leskelä, Lasse, et al.
Published: (2025)

Reduction and classification of higher-order Markov chains
by: Gallesco, Christophe, et al.
Published: (2026)

Weak convergence of adaptive Markov chain Monte Carlo
by: Brown, Austin, et al.
Published: (2024)

Rapid convergence of tempering chains to multimodal Gibbs measures
by: Son, Seungjae
Published: (2026)

Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances
by: Brown, Austin, et al.
Published: (2022)

Analysis of two-component Gibbs samplers using the theory of two projections
by: Qin, Qian
Published: (2022)

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo
by: Brown, Austin, et al.
Published: (2024)

Convergence analysis of data augmentation algorithms in Bayesian lasso models with log-concave likelihoods
by: Cui, Jingkai, et al.
Published: (2025)

Solving Poisson's equation for Wasserstein contractive Markov chains
by: Hofstadler, Julian
Published: (2026)

On convergence rate bounds for a class of nonlinear Markov chains
by: Shchegolev, Alexander, et al.
Published: (2022)

Least squares estimation of the transition density in bifurcating Markov models
by: Penda, S. Valère Bitseki
Published: (2025)

Almost sure convergence rates of adaptive increasingly rare Markov chain Monte Carlo
by: Hofstadler, Julian, et al.
Published: (2024)

The No-Underrun Sampler: A Locally-Adaptive, Gradient-Free MCMC Method
by: Bou-Rabee, Nawaf, et al.
Published: (2025)

Markov chains and mappings of distributions on compact spaces II: Numerics and Conjectures
by: Aldous, David J., et al.
Published: (2024)

Spectral gap of nonreversible Markov chains
by: Chatterjee, Sourav
Published: (2023)

Local limit theorems for inhomogeneous Markov chains
by: Dolgopyat, Dmitry, et al.
Published: (2021)

Positive autocorrelation at unit lag for stationary random walk Metropolis-Hastings in ${\mathbb R}^d$
by: Fill, James Allen, et al.
Published: (2026)

Non-asymptotic Estimates for Markov Transition Matrices via Spectral Gap Methods
by: Huang, De, et al.
Published: (2024)

On the principal eigenvectors of random Markov matrices
by: Calvert, Jacob, et al.
Published: (2025)

A note on concentration inequalities for the overlapped batch mean variance estimators for Markov chains
by: Moulines, Eric, et al.
Published: (2025)

Filtering of partially observed polynomial processes in discrete and continuous time
by: Kallsen, Jan, et al.
Published: (2025)

A Simplified Condition For Quantile Regression
by: Peng, Liang, et al.
Published: (2025)

Markov chains and mappings of distributions on compact spaces
by: Aldous, David J., et al.
Published: (2024)

Inference on the intraday spot volatility from high-frequency order prices with irregular microstructure noise
by: Bibinger, Markus
Published: (2023)

Stable convergence of conditional least squares estimators for supercritical continuous state and continuous time branching processes with immigration
by: Barczy, Matyas
Published: (2022)

A Dimension-Independent Bound on the Wasserstein Contraction Rate of a Geodesic Random Walk on the Sphere
by: Schär, Philip, et al.
Published: (2023)

Convergence of Markov chain transition probabilities
by: Scheutzow, Michael, et al.
Published: (2020)

Reducing metastable continuous-space Markov chains to Markov chains on a finite set
by: Berglund, Nils
Published: (2023)

Rosenthal-type inequalities for linear statistics of Markov chains
by: Durmus, Alain, et al.
Published: (2023)

An invitation to adaptive Markov chain Monte Carlo convergence theory
by: Laitinen, Pietari, et al.
Published: (2024)

Rates of memory loss for null recurrent Markov chains
by: Chevyrev, Ilya, et al.
Published: (2025)

Large deviation-based tuning schemes for Metropolis-Hastings algorithms
by: Milinanni, Federica
Published: (2024)

Large deviations for Independent Metropolis Hastings and Metropolis-adjusted Langevin algorithm
by: Milinanni, Federica, et al.
Published: (2024)

Mixing times of a Burnside process Markov chain on set partitions
by: Paguyo, J. E.
Published: (2022)

Meeting times of Markov chains via singular value decomposition
by: van Belle, Thomas, et al.
Published: (2024)

Compressibility and Stochastic Stability of Monotone Markov Chain
by: Foss, Sergey, et al.
Published: (2024)