Access Statistics for Ke-Li Xu
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 | |
| Adaptive Estimation of Autoregressive Models with Time-Varying Variances | 0 | 0 | 0 | 213 | 3 | 9 | 11 | 775 |
| Adaptive Estimation of Autoregressive Models with Time-Varying Variances | 0 | 0 | 0 | 171 | 3 | 7 | 9 | 556 |
| Empirical Likelihood for Regression Discontinuity Design | 0 | 0 | 0 | 238 | 0 | 1 | 1 | 511 |
| Tilted Nonparametric Estimation of Volatility Functions | 0 | 0 | 0 | 157 | 0 | 3 | 7 | 353 |
| Total Working Papers | 0 | 0 | 0 | 779 | 6 | 20 | 28 | 2,195 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Adaptive estimation of autoregressive models with time-varying variances | 0 | 0 | 0 | 66 | 1 | 9 | 15 | 230 |
| Bootstrapping Autoregression under Non-stationary Volatility | 0 | 0 | 0 | 46 | 0 | 1 | 2 | 233 |
| Empirical likelihood-based inference for nonparametric recurrent diffusions | 0 | 0 | 0 | 27 | 1 | 6 | 10 | 160 |
| Inference in Autoregression under Heteroskedasticity | 0 | 0 | 0 | 55 | 0 | 3 | 3 | 153 |
| REWEIGHTED FUNCTIONAL ESTIMATION OF DIFFUSION MODELS | 0 | 0 | 0 | 25 | 0 | 6 | 8 | 78 |
| Testing against nonstationary volatility in time series | 0 | 0 | 0 | 11 | 0 | 3 | 5 | 54 |
| Total Journal Articles | 0 | 0 | 0 | 230 | 2 | 28 | 43 | 908 |
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.