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Shota Gugushvili
dr.
Teacher
,
Mathematical and Statistical Methods - Biometris
https://orcid.org/0000-0002-6963-295X
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Research output
(15)
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Research output
11
Article
2
Software
1
Comment/Letter to the editor
1
Working paper
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Research output per year
1 results
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2020
Fast and scalable non-parametric Bayesian inference for Poisson point processes
Gugushvili, S.
, van der Meulen, F., Schauer, M. & Spreij, P.,
14 Feb 2020
,
Researchers.One
,
45 p.
Research output
:
Working paper
›
Academic
Open Access
Parametric
100%
Bayesian Inference
100%
intensity function λ
100%
Posterior Distribution
33%
Closed Form
33%