A kernel mixing strategy for use in adaptive Markov chain Monte Carlo and stochastic optimization contexts

Graham West, Zachariah Sinkala, John Wallin

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DOI: 10.3389/fams.2022.915294
Published: 2022-08-08
Container: Frontiers in Applied Mathematics and Statistics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fams.2022.915294,
  title = {A kernel mixing strategy for use in adaptive Markov chain Monte Carlo and stochastic optimization contexts},
  author = {Graham West and Zachariah Sinkala and John Wallin},
  year = {2022},
  journal = {Frontiers in Applied Mathematics and Statistics},
  doi = {10.3389/fams.2022.915294},
  url = {https://doi.org/10.3389/fams.2022.915294}
}

RIS

TY  - JOUR
TI  - A kernel mixing strategy for use in adaptive Markov chain Monte Carlo and stochastic optimization contexts
AU  - Graham West
AU  - Zachariah Sinkala
AU  - John Wallin
PY  - 2022
JO  - Frontiers in Applied Mathematics and Statistics
DO  - 10.3389/fams.2022.915294
UR  - https://doi.org/10.3389/fams.2022.915294
ER  -

APA

West, G., Sinkala, Z., & Wallin, J. (2022). A kernel mixing strategy for use in adaptive Markov chain Monte Carlo and stochastic optimization contexts. Frontiers in Applied Mathematics and Statistics. https://doi.org/10.3389/fams.2022.915294

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crossref · retrieved 2026-09-25T07:39:48.015Z