Imagen de Portada

Bernstein's inequalities for general Markov chains

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Bai, Sun, Qiang, Fan, Jianqing
Formato:	Preprint
Publicado:	2018
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
por: Chai, Jinhang, et al.
Publicado: (2024)

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

Optimal Estimation of Parameters in Degree Corrected Mixed Membership Models
por: Jiang, Stephen, et al.
Publicado: (2024)

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
por: Jin, Ying, et al.
Publicado: (2022)

Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
por: Martinez-Taboada, Diego, et al.
Publicado: (2026)

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
por: Yan, Yuling, et al.
Publicado: (2022)

Hoeffding and Bernstein inequalities for weighted sums of exchangeable random variables
por: Barber, Rina Foygel
Publicado: (2024)

Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
por: Hird, Max, et al.
Publicado: (2023)

Bernstein-type and Bennett-type inequalities for unbounded matrix martingales
por: Kroshnin, Alexey, et al.
Publicado: (2024)

Unbiased time-average estimators for Markov chains
por: Kahale, Nabil
Publicado: (2022)

Uncertainty Quantification for Ranking with Heterogeneous Preferences
por: Fan, Jianqing, et al.
Publicado: (2025)

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

When can weak latent factors be statistically inferred?
por: Fan, Jianqing, et al.
Publicado: (2024)

Tests for principal eigenvalues and eigenvectors
por: Fan, Jianqing, et al.
Publicado: (2024)

Covariates-Adjusted Mixed-Membership Estimation: A Novel Network Model with Optimal Guarantees
por: Fan, Jianqing, et al.
Publicado: (2025)

Multi-state model with temporal-consistent survival analysis for homogeneous Markov chains
por: Escobar-Bach, Mikael, et al.
Publicado: (2026)

Mixing properties of some Markov chains models in random environments
por: Lovas, Attila, et al.
Publicado: (2025)

Inference for Heteroskedastic PCA with Missing Data
por: Yan, Yuling, et al.
Publicado: (2021)

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
por: Fan, Jianqing, et al.
Publicado: (2025)

The Bernstein-von Mises theorem for Semiparametric Mixtures
por: Franssen, Stefan, et al.
Publicado: (2024)

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

Robust Transfer Learning with Unreliable Source Data
por: Fan, Jianqing, et al.
Publicado: (2023)

Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
por: Fan, Jianqing, et al.
Publicado: (2024)

Optimal estimation of a factorizable density using diffusion models with ReLU neural networks
por: Fan, Jianqing, et al.
Publicado: (2025)

Uncertainty Quantification of MLE for Entity Ranking with Covariates
por: Fan, Jianqing, et al.
Publicado: (2022)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
por: Ge, Jiawei, et al.
Publicado: (2024)

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
por: Fan, Jianqing, et al.
Publicado: (2023)

Affine invariant interacting Langevin dynamics in Markov chain importance sampling for rare event estimation
por: Beh, Jason, et al.
Publicado: (2025)

Semiparametric Bernstein-von Mises theorems for reversible diffusions
por: Giordano, Matteo, et al.
Publicado: (2025)

Bernstein-von Mises theorem for log-concave posteriors
por: Brunel, Victor-Emmanuel
Publicado: (2026)

On spectral gap decomposition for Markov chains
por: Qin, Qian
Publicado: (2025)

On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
por: Pozza, Francesco, et al.
Publicado: (2024)

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

Bernstein von-Mises Theorem for g-prior and nonlocal prior
por: Fang, Xiao, et al.
Publicado: (2024)

Sharp Empirical Bernstein Bounds for the Variance of Bounded Random Variables
por: Martinez-Taboada, Diego, et al.
Publicado: (2025)

Variational Bernstein-von Mises theorem with increasing parameter dimension
por: Yan, Jiawei, et al.
Publicado: (2025)

A Bernstein-von Mises Theorem for Generalized Fiducial Distributions
por: Borgert, J. E., et al.
Publicado: (2024)

Regenerative bootstrap for $β$-null recurrent Markov chains
por: Fernández, Carlos
Publicado: (2024)

Asymptotic distributions of four linear hypotheses test statistics under generalized spiked model
por: Liu, Zhijun, et al.
Publicado: (2025)

An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
por: Chen, Minshuo, et al.
Publicado: (2024)