Cover Image

Mixing properties of some Markov chains models in random environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lovas, Attila, Truquet, Lionel
Format:	Preprint
Published:	2025
Subjects:	Probability Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sharp Mixing Rates for Markov Chains on General Spaces with Unbounded Random Environments
by: Lovas, Attila, et al.
Published: (2025)

Mixing properties of nonstationary multivariate count processes
by: Debaly, Zinsou Max, et al.
Published: (2023)

Hoeffding's inequality for continuous-time Markov chains
by: Liu, Jinpeng, et al.
Published: (2024)

Theory and inference for multivariate autoregressive binary models with an application to absence-presence data in ecology
by: Franchi, Guillaume, et al.
Published: (2024)

On the lumpability of tree-valued Markov chains
by: Alves, Rodrigo B., et al.
Published: (2024)

An explicit link between graphical models and Gaussian Markov random fields on metric graphs
by: Bolin, David, et al.
Published: (2025)

Transition of $α$-mixing in Random Iterations with Applications in Queuing Theory
by: Lovas, Attila
Published: (2024)

Time series on compact spaces, with an application to dynamic modeling of relative abundance data in Ecology
by: Franchi, Guillaume, et al.
Published: (2023)

Optimistic Estimation of Convergence in Markov Chains with the Average-Mixing Time
by: Wolfer, Geoffrey, et al.
Published: (2024)

Multivariate strong invariance principles in Markov chain Monte Carlo
by: Banerjee, Arka, et al.
Published: (2022)

A calculus for Markov chain Monte Carlo: studying approximations in algorithms
by: Caprio, Rocco, et al.
Published: (2023)

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

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

Asymptotic properties of the maximum likelihood estimator for Hidden Markov Models indexed by binary trees
by: Weibel, Julien
Published: (2024)

Concatenation of Markov processes
by: Holl, Sascha
Published: (2024)

Statistical properties of Markov shifts (part I)
by: Hafouta, Yeor
Published: (2025)

A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo
by: Corenflos, Adrien, et al.
Published: (2025)

Eigenvalue distribution of some random matrices
by: Mohamed, Jebalia, et al.
Published: (2025)

On the Kantorovich contraction of Markov semigroups
by: Del Moral, Pierre, et al.
Published: (2025)

Convergence rate for Nearest Neighbour matching: geometry of the domain and higher-order regularity
by: Viel, Simon, et al.
Published: (2025)

Foundations of locally-balanced Markov processes
by: Livingstone, Samuel, et al.
Published: (2025)

Markov processes on a circular lattice
by: Majumdar, Sourav
Published: (2026)

The Markov approximation of the periodic multivariate Poisson autoregression
by: Khabou, Mahmoud, et al.
Published: (2025)

Graph Disjointness with Applications to Reversible Markov Chains
by: Xiang, Yang, et al.
Published: (2026)

Conditioning continuous-time Markov processes by guiding
by: Corstanje, Marc, et al.
Published: (2021)

On Limiting Probability Distributions of Higher Order Markov Chains
by: Han, Lixing, et al.
Published: (2025)

Implications of weak convergence rates of Markov transition kernels
by: Brown, Austin
Published: (2026)

On the impossibility of detecting a late change-point in the preferential attachment random graph model
by: Kaddouri, Ibrahim, et al.
Published: (2024)

Uniform mean estimation via generic chaining
by: Bartl, Daniel, et al.
Published: (2025)

Exact bounds for some quadratic empirical processes with applications
by: Han, Qiyang
Published: (2022)

Optimal detection of planted stars via a random energy model
by: Narang, Ijay, et al.
Published: (2026)

Dimension-free comparison estimates for suprema of some canonical processes
by: Sharma, Shivam
Published: (2023)

Matrix Moment and Concentration Inequalities for Martingales and Ergodic Markov Chains with Applications in Statistical Learning
by: Peng, Yang, et al.
Published: (2025)

On the edge eigenvalues of sparse random geometric graphs
by: Ding, Xiucai, et al.
Published: (2025)

Sharp bounds for products of dependent random variables
by: Blier-Wong, Christopher, et al.
Published: (2026)

Mixing Time Bounds for the Gibbs Sampler under Isoperimetry
by: Goyal, Alexander, et al.
Published: (2025)

Convergence rate of randomized midpoint Langevin Monte Carlo
by: Li, Ruinan, et al.
Published: (2025)

Localized geometry detection in scale-free random graphs
by: Bet, Gianmarco, et al.
Published: (2023)

The saddlepoint approximation for averages of conditionally independent random variables
by: Niu, Ziang, et al.
Published: (2024)

Inferring the parameters of Taylor's law in ecology
by: Truquet, Lionel, et al.
Published: (2024)