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A note on non-parametric Bayesian estima...

Gugushvili, Shota...

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A note on non-parametric Bayesian estimation for Poisson point processes by Gugushvili, Shota ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	26-07-2023
Summary	We derive the posterior contraction rate for non-parametric Bayesian estimation of the intensity function of a Poisson point process.
ISBN	-
Item Type	Article
File Type	pdf
File Size	30.00 KB
Language	English
Subjects	-
Charge Per Copy	MYR 0.01
Available copies	1
Total read	-
URL	http://arxiv.org/abs/1304.7353

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Gugushvili, Shota. A note on non-parametric Bayesian estimation for Poisson point processes. Australian National University. July 26, 2023. Accessed September 20, 2024. https://online.provdatabase.com/cite/6089

APA 7th EditionReferences

Gugushvili, Shota. (2023). A note on non-parametric Bayesian estimation for Poisson point processes. Australian National University. https://online.provdatabase.com/cite/6089

Chicago 17th EditionReferences

Gugushvili, Shota. A note on non-parametric Bayesian estimation for Poisson point processes. Australian National University. 2023. https://online.provdatabase.com/cite/6089

HarvardReferences

Gugushvili, Shota. (2023). A note on non-parametric Bayesian estimation for Poisson point processes. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/6089. (Accessed 20 September 2024).

Harvard AustraliaReferences

Gugushvili, Shota, 2023, A note on non-parametric Bayesian estimation for Poisson point processes, Australian National University, viewed 20 September 2024, <https://online.provdatabase.com/cite/6089>

MLA 9th EditionWorks Cited

Gugushvili, Shota. A note on non-parametric Bayesian estimation for Poisson point processes. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/6089.

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