Capacity and Error Exponents of Stationary Point Processes under Random Additive Displacements

DOI10.1239/aap/1427814578zbMath1318.60055arXiv1012.4924OpenAlexW2089708182MaRDI QIDQ5246168

François Baccelli, Venkat Anantharam

Publication date: 17 April 2015

Published in: Advances in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1012.4924

zbMATH Keywords

information theorylarge deviations theoryentropy spectrumstationary point processesrandom tessellationshigh-dimensional stochastic geometry

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Stationary stochastic processes (60G10) Large deviations (60F10) Information theory (general) (94A15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (4)

Limit theory of sparse random geometric graphs in high dimensions ⋮ The stochastic geometry of unconstrained one-bit data compression ⋮ Thin-shell concentration for zero cells of stationary Poisson mosaics ⋮ Capacity and Error Exponents of Stationary Point Processes under Random Additive Displacements

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