Cover Image

Convergence Bounds for Monte Carlo Markov Chains

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Qin, Qian
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory Probability 60J05
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On spectral gap decomposition for Markov chains
by: Qin, Qian
Published: (2025)

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

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

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

Convergence of a Sequential Monte Carlo algorithm towards multimodal distributions on Rd
by: Han, Ruiyu
Published: (2025)

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)

Convergence rates of self-repellent random walks, their local time and Event Chain Monte Carlo
by: Eberle, Andreas, et al.
Published: (2025)

Computable Bounds on Convergence of Markov Chains in Wasserstein Distance via Contractive Drift
by: Qu, Yanlin, et al.
Published: (2023)

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

On the Precision of the Spectral Profile Bound for the Mixing Time of Continuous State Markov Chains
by: Sichani, Elnaz Karimian, et al.
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)

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

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

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

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

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

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

Time-complexity of sampling from a multimodal distribution using sequential Monte Carlo
by: Han, Ruiyu, et al.
Published: (2025)

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

Geometric Bounds on the Fastest Mixing Markov Chain
by: Olesker-Taylor, Sam, et al.
Published: (2021)

Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
by: Dereich, Steffen, et al.
Published: (2021)

Convergence of Langevin AIS for multimodal distributions
by: Agarwal, Akshat, et al.
Published: (2026)

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

Mixing of Metropolis-Adjusted Markov Chains via Couplings: The High Acceptance Regime
by: Bou-Rabee, Nawaf, et al.
Published: (2023)

Solidarity of Spectral Gaps for Component-Wise Markov Chains
by: Kwon, Youngwoo, 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)

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)

Extended Laplace Principle for Empirical Measures of a Markov Chain
by: Eckstein, Stephan
Published: (2017)

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)

Bernstein-type Inequalities for Markov Chains and Markov Processes: A Simple and Robust Proof
by: Huang, De, et al.
Published: (2024)

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

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)

The $k$-Plancherel measure and a Finite Markov Chain
by: Linusson, Svante, et al.
Published: (2025)

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

Decoupling for Markov Chains
by: Bou-Rabee, Nawaf, et al.
Published: (2025)