Here you can find a selection of my research articles together with links to them.
The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series
Year:
2022
Authors:
Feng, Y., Gries, T., Letmathe, S., Schulz, D.
Published in:
The R Journal, 14(1), 182-195
deseats: An R Package for Data-Driven Trend and Seasonality Estimation in Time Series
Year:
2026
Authors:
Schulz, D.
Published in:
The R Journal, 18(2), 245-293
A Semiparametric Spatial FARIMA Applied in the Presence of Spatial Seasonality
Year:
2026
Authors:
Schulz, D., Do, T. T. H., Feng, Y.
Published in:
CIE Working Paper Series (Paderborn University), 170
Diagnosing the Trend and Bootstrapping the Forecasting Intervals Using a Semiparametric ARMA
Year:
2026
Authors:
Schulz, D., Feng, Y., Gries, T., Fritz, M., Letmathe, S.
Published in:
CIE Working Paper Series (Paderborn University), 168
Estimating, Forecasting and Backtesting a Family of Exponential and Other GARCH Models Using the fEGarch Package
Year:
2026
Authors:
Schulz, D., Feng, Y., Peitz, C., Ayensu, O. K.
Published in:
CIE Working Paper Series (Paderborn University), 171
Well-Known and Recent Long-Memory GARCH Models and Their Semiparametric Extensions
Year:
2026
Authors:
Ayensu, O. K., Feng, Y., Schulz, D.
Published in:
CIE Working Paper Series (Paderborn University), 175
