8 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
Big Data meets Causal Survey Research: Understanding Nonresponse in the Recruitment of a Mixed-mode Online Panel
Barbara Felderer, Jannis Kueck, Martin Spindler
Survey scientists increasingly face the problem of high-dimensionality in their research as digitization makes it much easier to construct high-dimensional (or "big") data sets thr…
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
Xi Chen, Ye Luo, Martin Spindler
In this paper we develop a data-driven smoothing technique for high-dimensional and non-linear panel data models. We allow for individual specific (non-linear) functions and estima…
Uniform Inference in High-Dimensional Gaussian Graphical Models
Sven Klaassen, Jannis Kück, Martin Spindler +1
Graphical models have become a very popular tool for representing dependencies within a large set of variables and are key for representing causal structures. We provide results fo…
Transformation Models in High-Dimensions
Sven Klaassen, Jannis Kueck, Martin Spindler
Transformation models are a very important tool for applied statisticians and econometricians. In many applications, the dependent variable is transformed so that homogeneity or no…