  In this work, we introduce a new process by modifying the kernel in the time
domain representation of the generalized Hermite process. This modification is
constructed by means of multiplication of the kernel in the time definition of
the process by an exponential tempering factor {\lambda} > 0 such that this new
process is well defined. Several properties of the process are studied and an
application to non-parametric regression is also given.
