On the characteristics of a class of Gaussian processes within the white noise space setting Academic Article uri icon


  • Abstract Using the white noise space framework, we construct and study a class of Gaussian processes with stationary increments, which include as particular cases the Brownian and fractional Brownian motions. The derivative processes are computed using Hida's theory of stochastic distributions.

publication date

  • January 1, 2010