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Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space

Publication ,  Journal Article
Zhang, C; Shahbaba, B; Zhao, H
Published in: Computational Statistics
March 2017

Duke Scholars

Published In

Computational Statistics

DOI

EISSN

1613-9658

ISSN

0943-4062

Publication Date

March 2017

Volume

32

Issue

1

Start / End Page

253 / 279

Publisher

Springer Science and Business Media LLC

Related Subject Headings

  • Statistics & Probability
  • 08 Information and Computing Sciences
  • 01 Mathematical Sciences
 

Citation

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Zhang, C., Shahbaba, B., & Zhao, H. (2017). Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space. Computational Statistics, 32(1), 253–279. https://doi.org/10.1007/s00180-016-0683-1
Zhang, Cheng, Babak Shahbaba, and Hongkai Zhao. “Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space.” Computational Statistics 32, no. 1 (March 2017): 253–79. https://doi.org/10.1007/s00180-016-0683-1.
Zhang C, Shahbaba B, Zhao H. Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space. Computational Statistics. 2017 Mar;32(1):253–79.
Zhang, Cheng, et al. “Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space.” Computational Statistics, vol. 32, no. 1, Springer Science and Business Media LLC, Mar. 2017, pp. 253–79. Crossref, doi:10.1007/s00180-016-0683-1.
Zhang C, Shahbaba B, Zhao H. Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space. Computational Statistics. Springer Science and Business Media LLC; 2017 Mar;32(1):253–279.
Journal cover image

Published In

Computational Statistics

DOI

EISSN

1613-9658

ISSN

0943-4062

Publication Date

March 2017

Volume

32

Issue

1

Start / End Page

253 / 279

Publisher

Springer Science and Business Media LLC

Related Subject Headings

  • Statistics & Probability
  • 08 Information and Computing Sciences
  • 01 Mathematical Sciences