Nonparametric intensity estimation from noisy observations of a Poisson process under unknown error distribution
Author:
Funder
Deutsche Forschungsgemeinschaft
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s00184-019-00716-7.pdf
Reference38 articles.
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3. Barron A, Birgé L, Massart P (1999) Risk bounds for model selection via penalization. Probab Theory Relat Fields 113(3):301–413. https://doi.org/10.1007/s004400050210
4. Bigot J, Gadat S, Klein T, Marteau C (2013) Intensity estimation of non-homogeneous Poisson processes from shifted trajectories. Electron J Stat 7:881–931. https://doi.org/10.1214/13-EJS794
5. Birgé L (2007) Model selection for Poisson processes. In: Asymptotics: particles, processes and inverse problems, IMS Lecture Notes Monograph Series, vol 55. Institute of Mathematical Statistics, Beachwood, pp 32–64. https://doi.org/10.1214/074921707000000265
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