Access Statistics for Shota Gugushvili
Author contact details at EconPapers.
| Working Paper | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Nonparametric Bayesian volatility estimation | 1 | 1 | 2 | 23 | 2 | 5 | 12 | 37 |
| Nonparametric Bayesian volatility learning under microstructure noise | 0 | 0 | 0 | 21 | 0 | 1 | 9 | 28 |
| Total Working Papers | 1 | 1 | 2 | 44 | 2 | 6 | 21 | 65 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| A non-parametric Bayesian approach to decompounding from high frequency data | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 22 |
| Application of one†step method to parameter estimation in ODE models | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 31 |
| Bayesian Linear Inverse Problems in Regularity Scales with Discrete Observations | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 6 |
| Decompounding discrete distributions: A nonparametric Bayesian approach | 0 | 0 | 0 | 0 | 0 | 8 | 16 | 21 |
| Deconvolution for an atomic distribution: rates of convergence | 0 | 0 | 0 | 0 | 0 | 4 | 9 | 17 |
| Editorial introduction | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 8 |
| Nonparametric estimation of the characteristic triplet of a discretely observed Lévy process | 0 | 0 | 0 | 0 | 1 | 2 | 12 | 21 |
| Weak convergence of the supremum distance for supersmooth kernel deconvolution | 0 | 0 | 0 | 4 | 0 | 2 | 11 | 59 |
| Total Journal Articles | 0 | 0 | 0 | 6 | 1 | 19 | 67 | 185 |
Top Working Papers
Top Journal Articles
Top Books
Top Chapters
Top Software Items
Top Working Paper series and Journals
Authors with papers registered in the RePEc Author Service.
Register yourself as an author or register more papers in the RePEc Author Service.
Authors with no registered papers
LogEc is hosted by the
Örebro University School of Business.
Questions or comments? Please see our explanation of how the statistics are collected or e-mail
Since October 2025, abstract view statistics are potentially heavily influenced by traffic from AI bots and tools that we could not eliminate despite our best efforts.