Statistical estimation of ergodic Markov chain kernel over discrete state space
From MaRDI portal
Publication:2214258
DOI10.3150/20-BEJ1248zbMath1472.62133arXiv1809.05014OpenAlexW3107422154WikidataQ114038757 ScholiaQ114038757MaRDI QIDQ2214258
Geoffrey Wolfer, Leonid (Aryeh) Kontorovich
Publication date: 7 December 2020
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1809.05014
Minimax procedures in statistical decision theory (62C20) Markov processes: estimation; hidden Markov models (62M05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)
Related Items (5)
Special feature: Statistics for COVID-19 pandemic data ⋮ Improved estimation of relaxation time in nonreversible Markov chains ⋮ On the \(\alpha\)-lazy version of Markov chains in estimation and testing problems ⋮ Unnamed Item ⋮ Mixing time estimation in reversible Markov chains from a single sample path
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Eigenvalue bounds on convergence to stationarity for nonreversible Markov chains, with an application to the exclusion process
- Geometric ergodicity and hybrid Markov chains
- A sharp estimate of the binomial mean absolute deviation with applications
- Exact lower bounds for the agnostic probably-approximately-correct (PAC) machine learning model
- Mixing time estimation in reversible Markov chains from a single sample path
- Concentration inequalities for Markov chains by Marton couplings and spectral methods
- Concentration inequalities for dependent random variables via the martingale method
- On the learnability of discrete distributions
- Minimax Estimation of Discrete Distributions Under <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula> Loss
- L p Testing and Learning of Discrete Distributions
- Statistical Methods in Markov Chains
- Matrix Analysis
- Neural Network Learning
- An Elementary Derivation of the Large Deviation Rate Function for Finite State <scp>M</scp>arkov Chains
- Introduction to nonparametric estimation
- Combinatorial methods in density estimation
This page was built for publication: Statistical estimation of ergodic Markov chain kernel over discrete state space