15 citations · 22 across the 6 of their papers we have counts for
7 papers
Combining Concurrent and Historical Functional Linear Regression
Alois Kneip, Dominik Liebl, Sven Otto
We study a function-on-function linear regression model in which the response at time depends on both the past trajectory of a predictor and its concurrent value. The model com…
Detecting Parameter Instabilities in Functional Concurrent Linear Regression
Rupsa Basu, Sven Otto
We develop methodology to detect structural breaks in the slope function of a concurrent functional linear regression model for functional time series in . Our test is base…
Functional Factor Regression with an Application to Electricity Price Curve Modeling
Sven Otto, Luis Winter
We propose a function-on-function linear regression model for time-dependent curve data that is consistently estimated by imposing factor structures on the regressors. An integral…
Approximate Factor Models for Functional Time Series
Sven Otto, Nazarii Salish
We propose a novel approximate factor model tailored for analyzing time-dependent curve data. Our model decomposes such data into two distinct components: a low-dimensional predict…
Testing and Dating Structural Changes in Copula-based Dependence Measures
Florian Stark, Sven Otto
This paper is concerned with testing and dating structural breaks in the dependence structure of multivariate time series. We consider a cumulative sum (CUSUM) type test for consta…
Unit Root Testing with Slowly Varying Trends
Sven Otto
A unit root test is proposed for time series with a general nonlinear deterministic trend component. It is shown that asymptotically the pooled OLS estimator of overlapping blocks…
Backward CUSUM for Testing and Monitoring Structural Change with an Application to COVID-19 Pandemic Data
Sven Otto, Jörg Breitung
It is well known that the conventional cumulative sum (CUSUM) test suffers from low power and large detection delay. In order to improve the power of the test, we propose two alter…