The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

Alternatively, you can also download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link below.

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Download this PDF file Fullscreen Fullscreen Off

References

  1. Eisenbaum, Nathalie. On the infinite divisibility of squared Gaussian processes. Probab. Theory Related Fields 125 (2003), no. 3, 381--392. MR1964459 (2004b:60050)
  2. Eisenbaum, Nathalie. A connection between Gaussian processes and Markov processes. Electron. J. Probab. 10 (2005), no. 6, 202--215 (electronic). MR2120243 (2005m:60071)
  3. Eisenbaum, Nathalie; Kaspi, Haya. A characterization of the infinitely divisible squared Gaussian processes. Ann. Probab. 34 (2006), no. 2, 728--742. MR2223956 (2007d:60012)
  4. Eisenbaum, Nathalie; Kaspi, Haya; Marcus, Michael B.; Rosen, Jay; Shi, Zhan. A Ray-Knight theorem for symmetric Markov processes. Ann. Probab. 28 (2000), no. 4, 1781--1796. MR1813843 (2002j:60138)
  5. Feller, William. An Introduction to Probability Theory and Its Applications. Vol. I.John Wiley & Sons, Inc., New York, N.Y., 1950. xii+419 pp. MR0038583 (12,424a)
  6. Marcus, Michael B.; Rosen, Jay. Infinite divisibility of Gaussian squares with non-zero means. Electron. Commun. Probab. 13 (2008), 364--376. MR2415144 (2009e:60085)
  7. Marcus, Michael B.; Rosen, Jay. Markov processes, Gaussian processes, and local times.Cambridge Studies in Advanced Mathematics, 100. Cambridge University Press, Cambridge, 2006. x+620 pp. ISBN: 978-0-521-86300-1; 0-521-86300-7 MR2250510 (2008b:60001)
Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.