activity
20172019
most citedOn model fitting and estimation of strictly stationary processes

11 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

math.ST2019

Modeling and estimation of multivariate discrete and continuous time stationary processes

Marko Voutilainen

In this paper, we give a AR type of characterization covering all multivariate strictly stationary processes indexed by the set of integers. Consequently, we derive continuous…

math.ST2019

Vector-valued Generalised Ornstein-Uhlenbeck Processes

Marko Voutilainen, Lauri Viitasaari, Pauliina Ilmonen +2

Generalisations of the Ornstein-Uhlenbeck process defined through Langevin equation such as fractional Ornstein-Uhlenbeck processes, have recently receiv…

math.PR2018

On generalized ARCH model with stationary liquidity

Pauliina Ilmonen, Soledad Torres, Ciprian Tudor +2

We study a generalized ARCH model with liquidity given by a general stationary process. We provide minimal assumptions that ensure the existence and uniqueness of the stationary so…

math.PR2018

Note on AR(1)-characterisation of stationary processes and model fitting

Marko Voutilainen, Lauri Viitasaari, Pauliina Ilmonen

It was recently proved that any strictly stationary stochastic process can be viewed as an autoregressive process of order one with coloured noise. Furthermore, it was proved that,…

math.ST201711 cited

On model fitting and estimation of strictly stationary processes

Marko Voutilainen, Lauri Viitasaari, Pauliina Ilmonen

Stationary processes have been extensively studied in the literature. Their applications include modeling and forecasting numerous real life phenomena such as natural disasters, sa…