activity
20172021
most citedStatistical Estimation of High-Dimensional Vector Autoregressive Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.AP2021

Estimation of the Distribution of the Individual Reproduction Number: The Case of the COVID-19 Pandemic

Alexander Braumann, Jonas Krampe, Jens-Peter Kreiss +1

We investigate the problem of estimating the distribution of the individual reproduction number governing the COVID-19 pandemic. Under the assumption that this random variable foll…

stat.ML20201 cited

Statistical Estimation of High-Dimensional Vector Autoregressive Models

Jonas Krampe, Efstathios Paparoditis

High-dimensional vector autoregressive (VAR) models are important tools for the analysis of multivariate time series. This paper focuses on high-dimensional time series and on the…

stat.ME2018

Time Series Modeling on Dynamic Networks

Jonas Krampe

This paper focuses on modeling the dynamic attributes of a dynamic network with a fixed number of vertices. These attributes are considered as time series which dependency structur…

stat.ME2018

Bootstrap Based Inference for Sparse High-Dimensional Time Series Models

J. Krampe, J-P. Kreiss, E. Paparoditis

Fitting sparse models to high-dimensional time series is an important area of statistical inference. In this paper we consider sparse vector autoregressive models and develop appro…

math.ST2017

EstimatedWold Representation and Spectral Density-Driven Bootstrap for Time Series

Jonas Krampe, Jens-Peter Kreiss, Efstathios Paparoditis

The second-order dependence structure of purely nondeterministic stationary process is described by the coefficients of the famous Wold representation. These coefficients can be ob…