Citation profile for Shota Gugushvili

Shota Gugushvili : Citation Profile

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Citations

RESEARCH PRODUCTION:

Articles

Papers

RESEARCH ACTIVITY:

   16 years (2008 - 2024). See details.
   Cites by year: 2
   Journals where Shota Gugushvili has often published
   Relations with other researchers
   Recent citing documents: 0.    Total self citations: 2 (5.26 %)

MORE DETAILS IN:

EconPapers Author's homepage

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pgu633
   Updated: 2024-12-03    RAS profile: 2020-05-17
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Shota Gugushvili.

Is cited by:

Sasaki, Yuya (6)

Reiss, Markus (4)

Dong, Hao (4)

Taylor, Luke (3)

Otsu, Taisuke (2)

Laub, Patrick (1)

Pouliot, William (1)

Cites to:

Rossi, Peter (3)

Shephard, Neil (2)

Platen, Eckhard (1)

Podolskij, Mark (1)

Chen, Song (1)

Scalas, Enrico (1)

Main data

Where Shota Gugushvili has published?

Journals with more than one article published	# docs
Journal of Nonparametric Statistics	2
Statistica Neerlandica	2

Working Papers Series with more than one paper published	# docs
Papers / arXiv.org	2

Recent works citing Shota Gugushvili (2024 and 2023)

Year	Title of citing document

Works by Shota Gugushvili:

Year	Title	Type	Cited
2019	Nonparametric Bayesian volatility estimation In: Papers. [Full Text][Citation analysis]	paper	1
2024	Nonparametric Bayesian volatility learning under microstructure noise In: Papers. [Full Text][Citation analysis]	paper	0
2020	Decompounding discrete distributions: A nonparametric Bayesian approach In: Scandinavian Journal of Statistics. [Full Text][Citation analysis]	article	0
2010	Editorial introduction In: Statistica Neerlandica. [Full Text][Citation analysis]	article	0
2018	Application of one€ step method to parameter estimation in ODE models In: Statistica Neerlandica. [Full Text][Citation analysis]	article	0
2008	Weak convergence of the supremum distance for supersmooth kernel deconvolution In: Statistics & Probability Letters. [Full Text][Citation analysis]	article	11
2018	A non-parametric Bayesian approach to decompounding from high frequency data In: Statistical Inference for Stochastic Processes. [Full Text][Citation analysis]	article	4
2009	Nonparametric estimation of the characteristic triplet of a discretely observed Lévy process In: Journal of Nonparametric Statistics. [Full Text][Citation analysis]	article	19
2011	Deconvolution for an atomic distribution: rates of convergence In: Journal of Nonparametric Statistics. [Full Text][Citation analysis]	article	1