Loading...
Please wait, while we are loading the content...
Similar Documents
Records from stationary observations subject to a random trend
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gouet, Raúl López, F. Javier |
| Copyright Year | 2016 |
| Abstract | We prove strong convergence and asymptotic normality for the record and the weak record rate of observations of the form Yn = Xn + Tn, n ≥ 1, where (Xn)n∈Z is a stationary ergodic sequence of random variables and (Tn)n≥1 is a stochastic trend process, with stationary ergodic increments. The strong convergence result follows from the Dubins-Freedman law of large numbers and Birkhoff’s ergodic theorem. For the asymptotic normality we rely on the approach of [3], coupled with a moment bound for stationary sequences, which is used to deal with the random trend process. Examples of application are provided. In particular, we obtain strong convergence and asymptotic normality for the number of ladder epochs in a random walk with stationary ergodic increments. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://repositorio.uchile.cl/bitstream/handle/2250/137185/Records-from-stationary-observations.pdf;jsessionid=40E502B45729CBA90AEC453161205CBF?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Birkhoff interpolation Convergence (action) Ergodic sequence Ergodic theory Ergodicity Ladder operator Normality Unit Stationary process |
| Content Type | Text |
| Resource Type | Article |
