A Point on Discrete versus Continuous State-Space Markov Chains
Fuente:
arXiv
Saved in:
| Main Authors: | Muia, Mathias N., Longla, Martial |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
New copula families and mixing properties
by: Longla, Martial
Published: (2023)
by: Longla, Martial
Published: (2023)
Uniform Asymptotic Theory for Local Likelihood Estimation of Covariate-Dependent Copula Parameters
by: Muia, Mathias Nthiani
Published: (2026)
by: Muia, Mathias Nthiani
Published: (2026)
Kernel Smoothing for Bounded Copula Densities
by: Muia, Mathias N., et al.
Published: (2025)
by: Muia, Mathias N., et al.
Published: (2025)
Adaptive Estimation of the Transition Density of Controlled Markov Chains
by: Banerjee, Imon, et al.
Published: (2025)
by: Banerjee, Imon, et al.
Published: (2025)
Jump Markov Chains and Rejection-Free Metropolis Algorithms
by: Rosenthal, J. S., et al.
Published: (2019)
by: Rosenthal, J. S., et al.
Published: (2019)
Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
by: Jaquard, Hugo, et al.
Published: (2026)
by: Jaquard, Hugo, et al.
Published: (2026)
Markov Chain Monte Carlo Significance Tests
by: Howes, Michael
Published: (2023)
by: Howes, Michael
Published: (2023)
Graph Disjointness with Applications to Reversible Markov Chains
by: Xiang, Yang, et al.
Published: (2026)
by: Xiang, Yang, et al.
Published: (2026)
On Limiting Probability Distributions of Higher Order Markov Chains
by: Han, Lixing, et al.
Published: (2025)
by: Han, Lixing, et al.
Published: (2025)
Sequential One-Sided Hypothesis Testing of Markov Chains
by: Fields, Greg, et al.
Published: (2025)
by: Fields, Greg, et al.
Published: (2025)
Optimistic Estimation of Convergence in Markov Chains with the Average-Mixing Time
by: Wolfer, Geoffrey, et al.
Published: (2024)
by: Wolfer, Geoffrey, et al.
Published: (2024)
State occupation probabilities in non-Markov models
by: Overgaard, Morten
Published: (2019)
by: Overgaard, Morten
Published: (2019)
Convergence of Multi-Level Markov Chain Monte Carlo Adaptive Stochastic Gradient Algorithms
by: Godichon-Baggioni, Antoine, et al.
Published: (2026)
by: Godichon-Baggioni, Antoine, et al.
Published: (2026)
Wasserstein Rate Driven CLTs for Markov Chains with Weighted Lipschitz, Sobolev, and Stein Test Functions
by: Jin, Rui, et al.
Published: (2020)
by: Jin, Rui, et al.
Published: (2020)
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity
by: Banerjee, Imon, et al.
Published: (2022)
by: Banerjee, Imon, et al.
Published: (2022)
Markov Chain Variance Estimation: A Stochastic Approximation Approach
by: Agrawal, Shubhada, et al.
Published: (2024)
by: Agrawal, Shubhada, et al.
Published: (2024)
Finite-length Analysis on Tail probability for Markov Chain and Application to Simple Hypothesis Testing
by: Watanabe, Shun, et al.
Published: (2014)
by: Watanabe, Shun, et al.
Published: (2014)
A Strict Gap Between Relaxed and Partition-Constrained Spectral Compression in a Six-State Lumpable Markov Chain
by: Kiriukhin, Oleg
Published: (2026)
by: Kiriukhin, Oleg
Published: (2026)
An Analysis of Elo Rating Systems via Markov Chains
by: Olesker-Taylor, Sam, et al.
Published: (2024)
by: Olesker-Taylor, Sam, et al.
Published: (2024)
Solidarity of Spectral Gaps for Component-Wise Markov Chains
by: Kwon, Youngwoo, et al.
Published: (2026)
by: Kwon, Youngwoo, et al.
Published: (2026)
Matrix Moment and Concentration Inequalities for Martingales and Ergodic Markov Chains with Applications in Statistical Learning
by: Peng, Yang, et al.
Published: (2025)
by: Peng, Yang, et al.
Published: (2025)
A Short Note on the Efficiency of Markov Chains for Bayesian Linear Regression Models with Heavy-Tailed Errors
by: Hamura, Yasuyuki
Published: (2024)
by: Hamura, Yasuyuki
Published: (2024)
Convergence Bounds for Monte Carlo Markov Chains
by: Qin, Qian
Published: (2024)
by: Qin, Qian
Published: (2024)
Testing for homogeneity of several functional variables via multiple maximum variance discrepancy
by: Balogoun, Armando Sosthène Kali, et al.
Published: (2024)
by: Balogoun, Armando Sosthène Kali, et al.
Published: (2024)
Wireless Network Topology Inference: A Markov Chains Approach
by: Martin, James, et al.
Published: (2025)
by: Martin, James, et al.
Published: (2025)
Virtual Quantum Markov Chains
by: Chen, Yu-Ao, et al.
Published: (2023)
by: Chen, Yu-Ao, et al.
Published: (2023)
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
A Non-parametric Approach to Inference about the Tail of a Continuous or a Discrete Distribution
by: Zhang, Jialin, et al.
Published: (2022)
by: Zhang, Jialin, et al.
Published: (2022)
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Complexity of Markov Chain Monte Carlo for Generalized Linear Models
by: Chak, Martin, et al.
Published: (2025)
by: Chak, Martin, et al.
Published: (2025)
Mad Props: Parallelism in Markov Chain Monte Carlo Through the Lens of the Infinite Proposal Limit
by: Glatt-Holtz, Nathan E., et al.
Published: (2026)
by: Glatt-Holtz, Nathan E., et al.
Published: (2026)
Variable-Length Markov Chains on Finite Quivers: Boundary-Window Identifiability, Exact Depth, and Local Rank Comparison
by: Kiriukhin, Oleg
Published: (2026)
by: Kiriukhin, Oleg
Published: (2026)
Rates of strong uniform consistency for the $k$-nearest neighbors kernel estimators of density and regression function
by: Mintogo, Luran Bengono, et al.
Published: (2024)
by: Mintogo, Luran Bengono, et al.
Published: (2024)
Nonparametric estimation of sliced inverse regression by the $ k$-nearest neighbors kernel method
by: Mintogo, Luran Bengono, et al.
Published: (2025)
by: Mintogo, Luran Bengono, et al.
Published: (2025)
Markov Stick-breaking Processes
by: Gil-Leyva, María F., et al.
Published: (2026)
by: Gil-Leyva, María F., et al.
Published: (2026)
On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025)
by: Caponera, Alessia
Published: (2025)
Bernstein's inequalities for general Markov chains
by: Jiang, Bai, et al.
Published: (2018)
by: Jiang, Bai, et al.
Published: (2018)
Concatenation of Markov processes
by: Holl, Sascha
Published: (2024)
by: Holl, Sascha
Published: (2024)
Local Equivalence Problem in Hidden Markov Model
by: Hayashi, Masahito
Published: (2018)
by: Hayashi, Masahito
Published: (2018)
Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space
by: Kan, Kelvin, et al.
Published: (2026)
by: Kan, Kelvin, et al.
Published: (2026)
Similar Items
-
New copula families and mixing properties
by: Longla, Martial
Published: (2023) -
Uniform Asymptotic Theory for Local Likelihood Estimation of Covariate-Dependent Copula Parameters
by: Muia, Mathias Nthiani
Published: (2026) -
Kernel Smoothing for Bounded Copula Densities
by: Muia, Mathias N., et al.
Published: (2025) -
Adaptive Estimation of the Transition Density of Controlled Markov Chains
by: Banerjee, Imon, et al.
Published: (2025) -
Jump Markov Chains and Rejection-Free Metropolis Algorithms
by: Rosenthal, J. S., et al.
Published: (2019)