On local slope estimation in partial linear models under Gaussian subordination

We address estimation of trend functions and time dependent slope in a partial linear model when the errors are unknown time-dependent functionals of latent Gaussian processes. Asymptotic results are derived under short-memory and long-memory correlations in the data.