The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sampling from multimodal distributions using tempered transitions
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Citations
Cites
Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods
Smith, A. F. M., & Roberts, G. O. (1993) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1993.tb01466.x · Cited by 1,713
Cited by
MCMC Using Hamiltonian Dynamics
Neal, R. M. (2011) · Handbook of Markov Chain Monte Carlo · doi:10.1201/b10905-6 · Cited by 2,574
Self-citationXu, H., Chen, S., Guo, Y., Jiang, J., Wang, B., Xu, J., Xue, Z., Nicolas Caballero, R., Yuan, J., Xu, Y., et al. (2023) · Research in Astronomy and Astrophysics · doi:10.1088/1674-4527/acdfa5 · Cited by 1,119
Parameter uncertainty in biochemical models described by ordinary differential equations
Vanlier, J., Tiemann, C. A., Hilbers, P. A. J., & van Riel, N. A. W. (2013) · Mathematical Biosciences · doi:10.1016/j.mbs.2013.03.006 · Cited by 116
“using multiple interacting MCMC chains [69,77–79].”
A bayesian approach to targeted experiment design
Vanlier, J., Tiemann, C. A., Hilbers, P. A. J., & van Riel, N. A. W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts092 · Cited by 98
Aitchison, L., & Lengyel, M. (2016) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005186 · Cited by 67
Metadata
- Authors
- Neal, R. M.
- Venue
- Statistics and Computing
- Published
- 1996-12
- Volume
- 6
- Issue
- 4
- Pages
- 353-366
- ISSN
- 0960-3174 (ISSN-L)
- 1573-1375
- OpenAlex
- W2043719428
- Cited by
- 343
- References
- 1
- FWCI
- 3.17
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- CoChat. (2026). Citation check: Sampling from multimodal distributions using tempered transitions. https://app.cochat.ai/papers/10.1007/bf00143556
- The paper
- Neal, R. M. (1996). Sampling from multimodal distributions using tempered transitions. Statistics and Computing. https://doi.org/10.1007/bf00143556
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
