activity
20052018
most citedGraphical modelling of multivariate time series

137 citations · 346 across the 10 of their papers we have counts for

collaborators

10 papers

math.ST2018★ 19 cited

A note on Herglotz's theorem for time series on function spaces

Anne van Delft, Michael Eichler

In this article, we prove Herglotz's theorem for Hilbert-valued time series. This requires the notion of an operator-valued measure, which we shall make precise for our setting. He…

math.ST2016★ 5 cited

Graphical Modeling for Multivariate Hawkes Processes with Nonparametric Link Functions

Michael Eichler, Rainer Dahlhaus, Johannes Dueck

Hawkes (1971) introduced a powerful multivariate point process model of mutually exciting processes to explain causal structure in data. In this paper it is shown that the Granger…

stat.ME2016★ 60 cited

Locally Stationary Functional Time Series

Anne van Delft, Michael Eichler

The literature on time series of functional data has focused on processes of which the probabilistic law is either constant over time or constant up to its second-order structure.…

stat.CO2015★ 6 cited

Data-adaptive estimation of time-varying spectral densities

Anne van Delft, Michael Eichler

This paper introduces a data-adaptive non-parametric approach for the estimation of time-varying spectral densities from nonstationary time series. Time-varying spectral densities…

stat.ME2012★ 13 cited

Fitting Graphical Interaction Models to Multivariate Time Series

Michael Eichler

Graphical interaction models have become an important tool for analysing multivariate time series. In these models, the interrelationships among the components of a time series are…

stat.ME2012★ 31 cited

Causal Reasoning in Graphical Time Series Models

Michael Eichler, Vanessa Didelez

We propose a definition of causality for time series in terms of the effect of an intervention in one component of a multivariate time series on another component at some later poi…