Access Statistics for Xuewen Yu
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 | |
| Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility | 0 | 0 | 0 | 84 | 0 | 5 | 7 | 46 |
| Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility | 0 | 0 | 0 | 2 | 6 | 13 | 17 | 25 |
| Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis | 0 | 0 | 3 | 16 | 3 | 13 | 24 | 42 |
| Large Order-Invariant Bayesian VARs with Stochastic Volatility | 0 | 0 | 0 | 66 | 0 | 9 | 14 | 57 |
| Total Working Papers | 0 | 0 | 3 | 168 | 9 | 40 | 62 | 170 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| A two‐step procedure for testing partial parameter stability in cointegrated regression models | 0 | 1 | 1 | 4 | 0 | 4 | 6 | 21 |
| Bootstrap procedures for detecting multiple persistence shifts in heteroskedastic time series | 0 | 0 | 0 | 6 | 0 | 3 | 5 | 22 |
| Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility | 0 | 0 | 0 | 2 | 1 | 5 | 13 | 28 |
| Total Journal Articles | 0 | 1 | 1 | 12 | 1 | 12 | 24 | 71 |
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.