activity
20182020
most citedHigh-Confident Nonparametric Fixed-Width Uncertainty Intervals and Applications to Projected High-Dimensional Data and Common Mean Estimation

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

collaborators

7 papers

cs.CY2020

Is there a role for statistics in artificial intelligence?

Sarah Friedrich, Gerd Antes, Sigrid Behr +11

The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics,…

math.ST2020

Detecting Changes in the Second Moment Structure of High-Dimensional Sensor-Type Data in a -Sample Setting

Nils Mause, Ansgar Steland

The sample problem for high-dimensional vector time series is studied, especially focusing on sensor data streams, in order to analyze the second moment structure and detect ch…

math.ST2020

Testing and Estimating Change-Points in the Covariance Matrix of a High-Dimensional Time Series

Ansgar Steland

This paper studies methods for testing and estimating change-points in the covariance structure of a high-dimensional linear time series. The assumed framework allows for a large c…

math.ST20191 cited

High-Confident Nonparametric Fixed-Width Uncertainty Intervals and Applications to Projected High-Dimensional Data and Common Mean Estimation

Yuan-Tsung Chang, Ansgar Steland

Nonparametric two-stage procedures to construct fixed-width confidence intervals are studied to quantify uncertainty. It is shown that the validity of the random central limit theo…

stat.ME2018

Shrinkage for Covariance Estimation: Asymptotics, Confidence Intervals, Bounds and Applications in Sensor Monitoring and Finance

Ansgar Steland

When shrinking a covariance matrix towards (a multiple) of the identity matrix, the trace of the covariance matrix arises naturally as the optimal scaling factor for the identity t…

cs.CV2018

Automatic Processing and Solar Cell Detection in Photovoltaic Electroluminescence Images

Evgenii Sovetkin, Ansgar Steland

Electroluminescence (EL) imaging is a powerful and established technique for assessing the quality of photovoltaic (PV) modules, which consist of many electrically connected solar…