Correction to: ``Speeding up Markov chains with deterministic jumps
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Publication:2052703
DOI10.1007/s00440-021-01049-1zbMath1474.60178OpenAlexW3196822371MaRDI QIDQ2052703
Sourav Chatterjee, Persi Diaconis
Publication date: 26 November 2021
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00440-021-01049-1
Computational methods in Markov chains (60J22) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)
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Cites Work
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- Cutoff on all Ramanujan graphs
- Some things we've learned (about Markov chain Monte Carlo)
- Qualitative properties of certain piecewise deterministic Markov processes
- Sensitivity of mixing times
- A survey of results on random random walks on finite groups
- Cutoff phenomena for random walks on random regular graphs
- Random walks arising in random number generation
- An affine walk on the hypercube
- Binomial coefficient codes over GF(2)
- Moderate growth and random walk on finite groups
- Exceptional polynomials of affine type
- Random random walks on \(\mathbb{Z}_2^d\)
- Mixing times of random walks on dynamic configuration models
- On sensitivity of uniform mixing times
- Improved mixing rates of directed cycles by added connection
- On sensitivity of mixing times and cutoff
- Algebraic algorithms for sampling from conditional distributions
- Analysis of a nonreversible Markov chain sampler.
- Hit and run as a unifying device
- Irreducibility of random polynomials of large degree
- Diffusion and mixing in fluid flow
- On the spectral analysis of second-order Markov chains
- Mixing time of the Chung-Diaconis-Graham random process
- A Model for Random Random-Walks on Finite Groups
- A lower bound for the Chung-Diaconis-Graham random process
- Probabilizing Fibonacci Numbers
- Time to Reach Stationarity in the Bernoulli–Laplace Diffusion Model
- Permuted Random Walk Exits Typically in Linear Time
- A permuted random walk exits faster
- Some simple but challenging Markov processes