If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Shota Gugushvili is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Bayesian Approach Mathematics
Subordinator Mathematics
Discrete Distributions Mathematics
Bayesian inference Mathematics
Markov Chain Monte Carlo Mathematics
Sample Size Mathematics
Jump Mathematics
Reversible Jump MCMC Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2019 2019

Decompounding discrete distributions: A nonparametric Bayesian approach

Gugushvili, S., Mariucci, E. & van der Meulen, F., 23 Oct 2019, In : Scandinavian journal of statistics.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Discrete Distributions
Bayesian Approach
Jump
Plug-in Estimator
Compound Poisson Process
1 Citation (Scopus)

Nonparametric Bayesian inference for Gamma-type Lévy subordinators

Belomestny, D., Gugushvili, S., Schauer, M. & Spreij, P., 30 Aug 2019, In : Communications in Mathematical Sciences. 17, 3, p. 781-816 36 p.

Research output: Contribution to journalArticleAcademicpeer-review

Subordinator
Bayesian inference
Reversible Jump MCMC
Discrete Time Observations
MCMC Algorithm