Access Statistics for Antonio Alberto Santos
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 | |
| Kernel density estimation using local cubic polynomials through option prices applied to intraday data | 0 | 0 | 1 | 16 | 5 | 9 | 14 | 61 |
| MCMC, likelihood estimation and identifiability problems in DLM models | 0 | 0 | 0 | 71 | 2 | 6 | 9 | 246 |
| Portfolio Choice under Parameter Uncertainty: Bayesian Analysis and Robust Optimization Comparison | 0 | 0 | 0 | 66 | 0 | 1 | 3 | 137 |
| Second Order Filter Distribution Approximations for Financial Time Series with Extreme Outlier | 0 | 0 | 0 | 27 | 2 | 6 | 7 | 257 |
| Second Order Filter Distribution Approximations for Financial Time Series with Extreme Outliers | 0 | 0 | 0 | 101 | 3 | 8 | 11 | 396 |
| Static and dynamic portfolio allocation with nonstandard utility functions | 0 | 0 | 0 | 11 | 0 | 2 | 6 | 45 |
| Total Working Papers | 0 | 0 | 1 | 292 | 12 | 32 | 50 | 1,142 |
3 registered items for which data could not be found
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Second-Order Filter Distribution Approximations for Financial Time Series With Extreme Outliers | 0 | 0 | 0 | 30 | 0 | 3 | 5 | 162 |
| Total Journal Articles | 0 | 0 | 0 | 30 | 0 | 3 | 5 | 162 |
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.