We introduce a multivariate Hawkes process with constraints on its conditional density. It is a multivariate point process with conditional intensity similar to that of a multivariate Hawkes process but certain events are forbidden with respect to boundary conditions on a multidimensional...

This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models as well as several complementary...

We show that a fractional Brownian motion with H'E(0,1) can be represented as an explicit transformation of a fractional Brownian motion with index H E(0,1). In particular, when H'=1/2, we obtain a deconvolution formula (or autoregressive representation) for fractional Brownian motion. We work...