The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Algebraic algorithms for sampling from conditional distributions
Abstract
We construct Markov chain algorithms for sampling from discrete exponential families conditional on a sufficient statistic. Examples include contingency tables, logistic regression, and spectral analysis of permutation data. The algorithms involve computations in polynomial rings using Gröbner bases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lauritzen, S. L. (1996) · doi:10.1093/oso/9780198522195.001.0001 · Cited by 2,976
Introduction to Toric Varieties. (AM-131)
Fulton, W. (1993) · Princeton University Press eBooks · doi:10.1515/9781400882526 · Cited by 1,402
Group representations in probability and statistics
Diaconis, P. (1988) · doi:10.1214/lnms/1215467407 · Cited by 1,381
Self-citationOutline of a Theory of Statistical Estimation Based on the Classical Theory of Probability
Neyman, J. (1937) · Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences · doi:10.1098/rsta.1937.0005 · Cited by 1,087
EFRON, B., & HINKLEY, D. V. (1978) · Biometrika · doi:10.1093/biomet/65.3.457 · Cited by 952
Some Problems Connected with Statistical Inference
Cox, D. R. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706618 · Cited by 536
Cited by
L -diversity: Privacy beyond k -anonymity
Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217302 · Cited by 3,617
L-diversity: privacy beyond k-anonymity
Machanavajjhala, A., Gehrke, J., Kifer, D., & Venkitasubramaniam, M. (2006) · 22nd International Conference on Data Engineering (ICDE'06) · doi:10.1109/icde.2006.1 · Cited by 2,362
A Survey of Statistical Network Models
Goldenberg, A., Zheng, A. X., Fienberg, S. E., & Airoldi, E. M. (2010) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000005 · Cited by 819
Exact logistic regression: Theory and examples
Mehta, C. R., & Patel, N. R. (1995) · Statistics in Medicine · doi:10.1002/sim.4780141908 · Cited by 481
Lectures on Algebraic Statistics
Drton, M., Sturmfels, B., & Sullivant, S. (2009) · Birkhäuser Basel eBooks · doi:10.1007/978-3-7643-8905-5 · Cited by 365
Self-citation
Metadata
- Authors
- Diaconis, P., & Sturmfels, B.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1998-02-01
- Volume
- 26
- Issue
- 1
- Pages
- 363-397
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W1973128036
- Cited by
- 616
- References
- 6
- FWCI
- 10.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Algebraic algorithms for sampling from conditional distributions. https://app.cochat.ai/papers/10.1214/aos/1030563990
- The paper
- Diaconis, P., & Sturmfels, B. (1998). Algebraic algorithms for sampling from conditional distributions. The Annals of Statistics. https://doi.org/10.1214/aos/1030563990
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.
