Determinantal point processes in the flat limit
Author:
Affiliation:
1. CNRS, Univ. Grenoble Alpes, Grenoble INP, GIPSA-lab, Grenoble, France
2. Université de Lorraine and CNRS, CRAN (Centre de Recherche en Automatique en Nancy), Grenoble, France
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Subject
Statistics and Probability
Reference17 articles.
1. Stein, M.L. (1999). Interpolation of Spatial Data: Some Theory for Kriging. Springer Series in Statistics. New York: Springer. 10.1007/978-1-4612-1494-6
2. Bardenet, R. and Hardy, A. (2020). Monte Carlo with determinantal point processes. Ann. Appl. Probab. 30 368–417. 10.1214/19-AAP1504
3. Barthelmé, S. Tremblay, N., Usevich, K. Amblard, P.-O. (2023). Supplement to “Determinantal point processes in the flat limit.” 10.3150/22-BEJ1486SUPP
4. Barthelmé, S., Amblard, P.-O. and Tremblay, N. (2019). Asymptotic equivalence of fixed-size and varying-size determinantal point processes. Bernoulli 25 3555–3589. 10.3150/18-bej1102
5. Barthelmé, S. and Usevich, K. (2021). Spectral properties of kernel matrices in the flat limit. SIAM J. Matrix Anal. Appl. 42 17–57. 10.1137/19M129677X
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Gaussian process regression in the flat limit;The Annals of Statistics;2023-12-01
2. Extended L-ensembles: A new representation for determinantal point processes;The Annals of Applied Probability;2023-02-01
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