Asymptotic equivalence of fixed-size and varying-size determinantal point processes

DOI10.3150/18-BEJ1102zbMath1428.62095arXiv1803.01576MaRDI QIDQ2325385

Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard

Publication date: 25 September 2019

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.01576

zbMATH Keywords

saddlepoint approximationpoint processesdeterminantal point processes

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (5)

Unnamed Item ⋮ Extended L-ensembles: a new representation for determinantal point processes ⋮ Determinantal point processes in the flat limit ⋮ Exact sampling of determinantal point processes without eigendecomposition ⋮ Determinantal Point Processes for Image Processing

Uses Software

• GMRFLib

Cites Work

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• Equivalence and nonequivalence of ensembles: thermodynamic, macrostate, and measure levels
• Determinantal random point fields
• Determinantal Point Processes for Machine Learning
• Random Matrix Methods for Wireless Communications
• Matrix approximation and projective clustering via volume sampling
• The coincidence approach to stochastic point processes
• Weighted finite population sampling to maximize entropy
• Logarithmic inequalities under a symmetric polynomial dominance order
• Gaussian Markov Random Fields
• Symmetric polynomials in information theory: Entropy and subentropy
• Saddlepoint Approximations in Statistics

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