Pauliina IlmonenTorres, SoledadSoledadTorresLauri Viitasaari2025-12-062025-12-062020-10-0110.1007/s11203-020-09212-62-s2.0-85084007124https://cris-uv-2.scimago.es/handle/123456789/6998In this article we introduce and study oscillating Gaussian processes defined by Xt=α+Yt1Yt>0+α-Yt1Yt<0, where α+, α-> 0 are free parameters and Y is either stationary or self-similar Gaussian process. We study the basic properties of X and we consider estimation of the model parameters. In particular, we show that the moment estimators converge in Lp and are, when suitably normalised, asymptotically normal.enacceso abiertoStatistics And ProbabilityOscillating Gaussian Processesarticle