Saved in:
| Main Authors: | Jiang, Bai, Sun, Qiang, Fan, Jianqing |
|---|---|
| Format: | Preprint |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1805.10721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)
by: Chai, Jinhang, et al.
Published: (2024)
Hoeffding's inequality for continuous-time Markov chains
by: Liu, Jinpeng, et al.
Published: (2024)
by: Liu, Jinpeng, et al.
Published: (2024)
Optimal Estimation of Parameters in Degree Corrected Mixed Membership Models
by: Jiang, Stephen, et al.
Published: (2024)
by: Jiang, Stephen, et al.
Published: (2024)
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
by: Jin, Ying, et al.
Published: (2022)
by: Jin, Ying, et al.
Published: (2022)
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
by: Yan, Yuling, et al.
Published: (2022)
by: Yan, Yuling, et al.
Published: (2022)
Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
by: Martinez-Taboada, Diego, et al.
Published: (2026)
by: Martinez-Taboada, Diego, et al.
Published: (2026)
Hoeffding and Bernstein inequalities for weighted sums of exchangeable random variables
by: Barber, Rina Foygel
Published: (2024)
by: Barber, Rina Foygel
Published: (2024)
Bernstein-type and Bennett-type inequalities for unbounded matrix martingales
by: Kroshnin, Alexey, et al.
Published: (2024)
by: Kroshnin, Alexey, et al.
Published: (2024)
When can weak latent factors be statistically inferred?
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Uncertainty Quantification for Ranking with Heterogeneous Preferences
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
by: Hird, Max, et al.
Published: (2023)
by: Hird, Max, et al.
Published: (2023)
Unbiased time-average estimators for Markov chains
by: Kahale, Nabil
Published: (2022)
by: Kahale, Nabil
Published: (2022)
On the lumpability of tree-valued Markov chains
by: Alves, Rodrigo B., et al.
Published: (2024)
by: Alves, Rodrigo B., et al.
Published: (2024)
Tests for principal eigenvalues and eigenvectors
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Covariates-Adjusted Mixed-Membership Estimation: A Novel Network Model with Optimal Guarantees
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)
by: Yan, Yuling, et al.
Published: (2021)
Rosenthal-type inequalities for linear statistics of Markov chains
by: Durmus, Alain, et al.
Published: (2023)
by: Durmus, Alain, et al.
Published: (2023)
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Optimal estimation of a factorizable density using diffusion models with ReLU neural networks
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)
by: Fan, Jianqing, et al.
Published: (2022)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Robust Transfer Learning with Unreliable Source Data
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Mixing properties of some Markov chains models in random environments
by: Lovas, Attila, et al.
Published: (2025)
by: Lovas, Attila, et al.
Published: (2025)
Multi-state model with temporal-consistent survival analysis for homogeneous Markov chains
by: Escobar-Bach, Mikael, et al.
Published: (2026)
by: Escobar-Bach, Mikael, et al.
Published: (2026)
On spectral gap decomposition for Markov chains
by: Qin, Qian
Published: (2025)
by: Qin, Qian
Published: (2025)
Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)
by: Bayle, Pierre, et al.
Published: (2023)
The Bernstein-von Mises theorem for Semiparametric Mixtures
by: Franssen, Stefan, et al.
Published: (2024)
by: Franssen, Stefan, et al.
Published: (2024)
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
by: Chen, Minshuo, et al.
Published: (2024)
by: Chen, Minshuo, et al.
Published: (2024)
Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)
by: Fan, Jianqing, et al.
Published: (2026)
Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
A provable initialization and robust clustering method for general mixture models
by: Jana, Soham, et al.
Published: (2024)
by: Jana, Soham, et al.
Published: (2024)
On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
by: Pozza, Francesco, et al.
Published: (2024)
by: Pozza, Francesco, et al.
Published: (2024)
Multivariate strong invariance principles in Markov chain Monte Carlo
by: Banerjee, Arka, et al.
Published: (2022)
by: Banerjee, Arka, et al.
Published: (2022)
Regenerative bootstrap for $β$-null recurrent Markov chains
by: Fernández, Carlos
Published: (2024)
by: Fernández, Carlos
Published: (2024)
Reversible Markov chains: variational representations and ordering
by: Sherlock, Chris
Published: (2018)
by: Sherlock, Chris
Published: (2018)
Reduction and classification of higher-order Markov chains
by: Gallesco, Christophe, et al.
Published: (2026)
by: Gallesco, Christophe, et al.
Published: (2026)
Semiparametric Bernstein-von Mises theorems for reversible diffusions
by: Giordano, Matteo, et al.
Published: (2025)
by: Giordano, Matteo, et al.
Published: (2025)
Bernstein-von Mises theorem for log-concave posteriors
by: Brunel, Victor-Emmanuel
Published: (2026)
by: Brunel, Victor-Emmanuel
Published: (2026)
Similar Items
-
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024) -
Hoeffding's inequality for continuous-time Markov chains
by: Liu, Jinpeng, et al.
Published: (2024) -
Optimal Estimation of Parameters in Degree Corrected Mixed Membership Models
by: Jiang, Stephen, et al.
Published: (2024) -
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
by: Jin, Ying, et al.
Published: (2022) -
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
by: Yan, Yuling, et al.
Published: (2022)