Geometric Bounds for Eigenvalues of Markov Chains

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Diaconis, Persi, and Daniel Stroock. “Geometric Bounds for Eigenvalues of Markov Chains”. The Annals of Applied Probability, vol. 1, no. 1, 1991, https://doi.org/10.1214/aoap/1177005980.
Diaconis, P., & Stroock, D. (1991). Geometric Bounds for Eigenvalues of Markov Chains. The Annals of Applied Probability, 1(1). https://doi.org/10.1214/aoap/1177005980
Diaconis, Persi, and Daniel Stroock. “Geometric Bounds for Eigenvalues of Markov Chains”. The Annals of Applied Probability 1, no. 1 (1991). https://doi.org/10.1214/aoap/1177005980.
Diaconis P, Stroock D. Geometric Bounds for Eigenvalues of Markov Chains. The Annals of Applied Probability. 1991;1(1).
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The category Science: Mathematics 244 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Efficient simulated annealing on fractal energy landscapes and was published in 1991. The most recent citation comes from a 2024 study titled Age-Dependent Differential Privacy. This article reached its peak citation in 2012, with 21 citations. It has been cited in 167 different journals, 5% of which are open access. Among related journals, the Journal of Applied Probability cited this research the most, with 21 citations. The chart below illustrates the annual citation trends for this article.
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